text:
vesquePirriReiter98,
  author = {H.J. Levesque and F. Pirri and R. Reiter},
  title = {Foundations for the Situation Calculus},
  journal = {Link{\"{o}}ping Electronic Articles in Computer and Information Science},
  year = {1998},
  volume = {3},
  pages = {1--18},
  number = {18},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{levesque:belief,
  author = {Hector~J. Levesque},
  title = {A logic of implicit and explicit belief},
  booktitle = {Proceedings of the Fourth National Conference on Artificial Intelligence},
  year = {1984},
  pages = {198--202},
  address = {Austin, Texas},
  month = {August},
  publisher = {American Association for Artificial Intelligence},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{levesque:functional-foundations,
  author = {Hector~J. Levesque},
  title = {Foundations of a functional approach to knowledge representation},
  journal = {Artificial Intelligence},
  year = {1984},
  volume = {23},
  pages = {155--212},
  number = {2},
  month = {July},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{bib:levi-book,
  title = {For the Sake of the Argument: Ramsey Test Conditionals, Inductive
	Inference, and Nomonotonic Reasoning},
  publisher = {Cambridge University Press},
  year = {1996},
  author = {Issac Levi},
  address = {Cambridge},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{bib:lev-ramsey,
  author = {Issac Levi},
  title = {Iteration of Conditionals and the Ramsey Test},
  journal = {Synthese},
  year = {1988},
  volume = {76},
  pages = {49-81},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INCOLLECTION{bib:lev-paper,
  author = {Issac Levi},
  title = {Truth, Fallibiblity and the Growth of Knowledge},
  booktitle = {Language, Logic and Method},
  publisher = {Reidel},
  year = {1983},
  pages = {153-174},
  address = {Dordrecht},
  editors = {R. Cohen and M. D. Wartofsky},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{bib:enterprise,
  title = {The Enterprise of Knowledge},
  publisher = {MIT Press},
  year = {1980},
  author = {Isaac Levi},
  address = {Cambridge, Mass.},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{bib:lev-identity,
  author = {Isaac Levi},
  title = {Subjunctives, Dispositions and Chances},
  journal = {Synthese},
  year = {1977},
  volume = {34},
  pages = {423-55},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Lewis2003,
  author = {David Lewis},
  title = {(Spam vs.) Forty Years of Machine Learning for Text Classification},
  booktitle = {Proceedings of the Spam Conference},
  year = {2003},
  note = {Available: \url{http://www.daviddlewis.com/publications/slides/lewis-2003-0117-spamconf-slides.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = { http://www.daviddlewis.com/publications/slides/lewis-2003-0117-spamconf-slides.pdf}
}

@ARTICLE{bib:new-work,
  author = {David Lewis},
  title = {New Work for A Theory of Universals},
  journal = {Australasian Journal of Philosophy},
  year = {1983},
  volume = {61:4},
  pages = {343-377},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INCOLLECTION{bib:lew-cond,
  author = {D. Lewis},
  title = {Counterfactuals and Comparative Possibility},
  booktitle = {Ifs: Conditionals, Belief, Decision, Chance, and Time},
  publisher = {Reidel},
  year = {1981},
  pages = {57--86},
  address = {Dordrecht},
  editors = {W. Harper and R. Stalnaker},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{bib:imaging,
  author = {David Lewis},
  title = {Probabilities of Conditionals and Conditional Probabilities},
  journal = {The Philosophical Review},
  year = {1976},
  volume = {LXXXV 3},
  pages = {297-315},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{bib:lewis-counter,
  title = {Counterfactuals},
  publisher = {Harvard University Press},
  year = {1973},
  author = {David Lewis},
  address = {Cambridge, Mass.},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Li2004a,
  author = {F. Li and Y. Yang},
  title = {Recovering Genetic Regulatory Networks from Micro-Array Data and
	Location Analysis Data},
  journal = {Genome Informatics},
  year = {2004},
  volume = {15},
  pages = {131-140},
  number = {2},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Li2009,
  author = {Junning Li and Z. Jane Wang},
  title = {Controlling the False Discovery Rate of the {Association/Causality}
	Structure Learned with the {PC} Algorithm},
  journal = {Journal of Machine Learning Research},
  year = {2009},
  volume = {10},
  pages = {475---514},
  month = feb,
  abstract = {In real world applications, graphical statistical models are not only
	a tool for operations such as classification or prediction, but usually
	the network structures of the models themselves are also of great
	interest (e.g., in modeling brain connectivity). The false discovery
	rate {(FDR),} the expected ratio of falsely claimed connections to
	all those claimed, is often a reasonable error-rate criterion in
	these applications. However, current learning algorithms for graphical
	models have not been adequately adapted to the concerns of the {FDR.}
	The traditional practice of controlling the type I error rate and
	the type {II} error rate under a conventional level does not necessarily
	keep the {FDR} low, especially in the case of sparse networks. In
	this paper, we propose embedding an {FDR-control} procedure into
	the {PC} algorithm to curb the {FDR} of the skeleton of the learned
	graph. We prove that the proposed method can control the {FDR} under
	a user-specified level at the limit of large sample sizes. In the
	cases of moderate sample size (about several hundred), empirical
	experiments show that the method is still able to control the {FDR}
	under the user-specified level, and a heuristic modification of the
	method is able to control the {FDR} more accurately around the user-specified
	level. The proposed method is applicable to any models for which
	statistical tests of conditional independence are available, such
	as discrete models and Gaussian models.},
  file = {Li2009.pdf:Li2009.pdf:PDF},
  keywords = {{B}ayes Nets},
  owner = {oschulte},
  review = {funny thing: they seem to control the rate at which edges are added
	falsely. but the main problem with the PC algorithm is omitting edges
	falsely.},
  timestamp = {2009.08.19},
  url = {http://jmlr.csail.mit.edu/papers/v10/li09a.html}
}

@INPROCEEDINGS{Li2004,
  author = {Kang Li and Calton Pu and Mustaque Ahamad},
  title = {Resisting SPAM Delivery by TCP Damping},
  booktitle = {Proceedings of the First Conference on Email and Anti-Spam (CEAS)},
  year = {2004},
  note = {Available: \url{http://www.ceas.cc/papers-2004/191.pdf}},
  keywords = {POSTAGE},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.ceas.cc/papers-2004/191.pdf}
}

@INPROCEEDINGS{Liang2008,
  author = {Liang, Percy and Jordan, Michael I.},
  title = {An asymptotic analysis of generative, discriminative, and pseudolikelihood
	estimators},
  booktitle = {ICML '08: Proceedings of the 25th international conference on Machine
	learning},
  year = {2008},
  pages = {584--591},
  address = {New York, NY, USA},
  publisher = {ACM},
  doi = {http://doi.acm.org/10.1145/1390156.1390230},
  file = {Liang2008.pdf:Liang2008.pdf:PDF},
  isbn = {978-1-60558-205-4},
  keywords = {statistical-relational},
  location = {Helsinki, Finland},
  review = {interesting concept of composite likelihood, looks like convex combination
	of likelihoods.}
}

@MISC{Lifschitz1996,
  author = {Vladimir Lifschitz},
  title = {Foundations of Logic Programming},
  howpublished = {Principles of Knowledge Representation, CSLI Publications},
  year = {1996},
  keywords = {ilp},
  owner = {oliverschulte},
  review = {hierarchical program = strictly stratified normal program = no negation.
	Normalization is like functor program.},
  timestamp = {2010.07.23},
  url = {http://nn.cs.utexas.edu/pub-view.php?PubID=942}
}

@ARTICLE{lillicrap2015continuous,
  author = {Lillicrap, Timothy P and Hunt, Jonathan J and Pritzel, Alexander
	and Heess, Nicolas and Erez, Tom and Tassa, Yuval and Silver, David
	and Wierstra, Daan},
  title = {Continuous control with deep reinforcement learning},
  journal = {arXiv preprint arXiv:1509.02971},
  year = {2015}
}

@UNPUBLISHED{lim04:_major,
  author = {C.S. Lim and E. Takasugi E. and M. Yoshimura},
  title = {A variety of lepton number violating processes related to Majorana
	neutrino masses},
  note = {Preprint at http://arxiv.org/abs/hep-ph/0411139},
  year = {2004},
  keywords = {particle physics},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Linhart1986,
  title = {Model Selection},
  publisher = {John Wiley and Sons},
  year = {1986},
  author = {H. Linhart and W. Zucchini},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Lippi2011,
  author = {Lippi, Marco and Jaeger, Manfred and Frasconi, Paolo and Passerini,
	Andrea},
  title = {Relational information gain},
  journal = {Machine Learning},
  year = {2011},
  volume = {83},
  pages = {219--239},
  number = {2},
  owner = {zqian},
  publisher = {Springer},
  timestamp = {2015.01.19}
}

@ARTICLE{lipton2016mythos,
  author = {Lipton, Zachary C},
  title = {The mythos of model interpretability},
  journal = {arXiv preprint arXiv:1606.03490},
  year = {2016}
}

@INPROCEEDINGS{Listgarten2007,
  author = {J. Listgarten and D. Heckerman},
  title = {Determining the number of non-spurious arcs in a learned DAG model:
	Investigation of a {B}ayesian and a frequentist approach.},
  booktitle = {Proceedings of Twenty Third Conference on Uncertainty in Artificial
	Intelligence},
  year = {2007},
  month = {July},
  publisher = {UAI Press},
  owner = {oliverschulte},
  timestamp = {2008.02.01}
}

@ARTICLE{Littlestone1988,
  author = {Nick Littlestone},
  title = {Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold
	Algorithm},
  journal = {Mach. Learn.},
  year = {1988},
  volume = {2},
  pages = {285--318},
  number = {4},
  issn = {0885-6125},
  owner = {hkhosrav},
  publisher = {Kluwer Academic Publishers},
  timestamp = {2008.10.08}
}

@inproceedings{Littman1994,
  author    = {Michael L. Littman},
  title     = {{Markov} Games as a Framework for Multi-Agent Reinforcement Learning},
  booktitle = {Machine Learning, Proceedings of the 11th International Conference},
  pages     = {157--163},
  year      = {1994}
}

@inproceedings{Liu2018,
  author    = {Guiliang Liu and
               Oliver Schulte},
  title     = {Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation},
  booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on Artificially Intelligence, {IJCAI}},
  pages     = {3442--3448},
  year      = {2018}
}

@INPROCEEDINGS{Schulte18ol,
  author = {Guiliang Liu and Oliver Schulte},
  title = {Deep Reinforcement Learning in Ice Hockey for Context-Aware Action
	Values and Player Evaluation},
  booktitle = {IJCAI (International Joint Conference onArtificial Intelligence)},
  year = {2018},
  timestamp = {2018.07}
}

@INPROCEEDINGS{Liu2005a,
  author = {Liu, Hongyan and Yin, Xiaoxin and Han, Jiawei},
  title = {An efficient multi-relational Na\"{\i}ve {B}ayesian classifier based
	on semantic relationship graph},
  booktitle = {MRDM '05: Proceedings of the 4th international workshop on Multi-relational
	mining},
  year = {2005},
  pages = {39--48},
  publisher = {ACM},
  file = {Liu2005a.pdf:Liu2005a.pdf:PDF},
  isbn = {1-59593-212-7},
  keywords = {statistical-relational},
  location = {Chicago, Illinois},
  owner = {oschulte},
  timestamp = {2009.09.30}
}

@BOOK{Lloyd1987,
  title = {Foundations of logic programming (second, extended edition) },
  publisher = {Springer-Verlag },
  year = {1987},
  author = {John W. Lloyd},
  pages = {21},
  series = {Springer series in symbolic computation },
  address = {New York },
  keywords = {book },
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@MISC{Lock2009,
  author = {Lock, D. and Schuckers, M.},
  title = {Beyond +/-: A rating system to compare NHL players.},
  year = {2009},
  note = {Presentation at joint statistical meetings.},
  file = {:Lock2009_Beyond PlusMinus A Rating System to Compare NHL Players.pdf:PDF},
  owner = {Kurt},
  timestamp = {2014.04.01}
}

@INPROCEEDINGS{Loder2004b,
  author = {Thede Loder and Marshall Van Alstyne and Rick Wash},
  title = {An Economic Solution to the Spam Problem},
  booktitle = {Proceedings of the Spam Conference},
  year = {2004},
  note = {Available: \url{http://www.eecs.umich.edu/~tloder/abm_mit_spam_econ_14.ppt}},
  keywords = {POSTAGE},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.eecs.umich.edu/~tloder/abm_mit_spam_econ_14.ppt}
}

@INPROCEEDINGS{Loder2004a,
  author = {Thede Loder and Marshall {Van Alstyne} and Rick Wash},
  title = {An Economic Solution to the Spam Problem},
  booktitle = {Proceedings of the {ACM} Conference on Electronic Commerce},
  year = {2004},
  note = {Available: \url{http://www.citi.umich.edu/u/rwash/pubs/spam-acm.pdf}},
  keywords = {POSTAGE},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.citi.umich.edu/u/rwash/pubs/spam-acm.pdf}
}

@INPROCEEDINGS{Lodhi2005,
  author = {Huma Lodhi and Stephen Muggleton},
  title = { Is mutagenesis still challenging?},
  booktitle = {Inductive Logic Programming},
  year = {2005},
  pages = {35,40},
  owner = {aaa78},
  timestamp = {2011.10.05}
}

@MANUAL{GUIDE,
  title = {GUIDE User Manual},
  author = {Wei-Yin Loh},
  organization = {University of Wisconsin-Madison},
  year = {2017}
}

@ARTICLE{loh2011classification,
  author = {Loh, Wei-Yin},
  title = {Classification and regression trees},
  journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
  year = {2011},
  volume = {1},
  pages = {14--23},
  number = {1},
  publisher = {Wiley Online Library}
}

@INPROCEEDINGS{London2012,
  author = {London, Ben and Huang, Bert and Getoor, Lise},
  title = {Improved generalization bounds for large-scale structured prediction},
  booktitle = {NIPS Workshop on Algorithmic and Statistical Approaches for Large
	Social Networks},
  year = {2012},
  organization = {Citeseer},
  file = {London2012.pdf:London2012.pdf:PDF},
  keywords = {statistical-relational}
}

@INPROCEEDINGS{Long2007,
  author = {Long, Bo and Zhang, Zhongfei Mark and Yu, Philip S},
  title = {A probabilistic framework for relational clustering},
  booktitle = {Proceedings of the 13th ACM SIGKDD international conference on Knowledge
	discovery and data mining},
  year = {2007},
  pages = {470--479},
  organization = {ACM},
  file = {Long2007.pdf:Long2007.pdf:PDF},
  keywords = {statistical-relational}
}

@INPROCEEDINGS{Lowd2012,
  author = {Lowd, D.},
  title = {Closed-form learning of {Markov} networks from dependency networks},
  booktitle = {UAI},
  year = {2012}
}

@INPROCEEDINGS{Lowd2007,
  author = {Lowd, Daniel and Domingos, Pedro},
  title = {Efficient Weight Learning for {Markov} Logic Networks},
  booktitle = {PKDD},
  year = {2007},
  pages = {200--211},
  numpages = {12},
  owner = {oschulte},
  timestamp = {2011.05.24}
}

@INPROCEEDINGS{collective2003,
  author = {Lu, Qing and Getoor, Lise},
  title = {Link-based Classification Using Labeled and Unlabeled Data},
  booktitle = {ICML Workshop on "The Continuum from Labeled to Unlabeled Data in
	Machine Learning and Data Mining},
  year = {2003},
  owner = {bba18},
  timestamp = {2010.01.26}
}

@INPROCEEDINGS{Lu2003,
  author = {Lu, Qing and Getoor, Lise},
  title = {Link-based Classification},
  booktitle = {ICML},
  year = {2003},
  pages = {496--503},
  publisher = {AAAI Press},
  citeulike-article-id = {2360375},
  file = {Lu2003.pdf:Lu2003.pdf:PDF},
  owner = {oschulte},
  posted-at = {2008-02-11 23:51:55},
  priority = {0},
  timestamp = {2009.09.30}
}

@BOOK{Lucas1990,
  title = {Introduction to abstract mathematics},
  publisher = {Rowman \& Littlefield},
  year = {1990},
  author = {Lucas, John F}
}

@INPROCEEDINGS{Lukasiewicz2005,
  author = {Thomas Lukasiewicz},
  title = {Probabilistic description logic programs},
  booktitle = {In Proc. ECSQARU-2005},
  year = {2005},
  pages = {737--749},
  publisher = {Springer}
}

@ARTICLE{Lunn,
  author = {Lunn, David J. and Thomas, Andrew and Best, Nicky and Spiegelhalter,
	David},
  title = {WinBUGS: Bayesian modelling framework: Concepts, structure, and extensibility},
  journal = {Statistics and Computing},
  year = {2000},
  volume = {10},
  pages = {325--337},
  number = {4},
  month = oct,
  issn = {0960-3174},
  issue_date = {October 2000},
  numpages = {13},
  owner = {oschulte},
  timestamp = {2014.11.04}
}

@ARTICLE{Lunn2000,
  author = {Lunn, David J. and Thomas, Andrew and Best, Nicky and Spiegelhalter,
	David},
  title = {WinBUGS: Bayesian modelling framework: Concepts, structure, and extensibility},
  journal = {Statistics and Computing},
  year = {2000},
  volume = {10},
  pages = {325--337},
  number = {4},
  month = oct,
  issn = {0960-3174},
  issue_date = {October 2000},
  numpages = {13}
}

@ARTICLE{Luo2014,
  author = {Luo, B. and Liu, D. and Huang, T.},
  title = {Q-learning for Optimal Control of Continuous-time Systems},
  journal = {CoRR},
  year = {2014},
  volume = {abs/1410.2954},
  month = {oct},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System},
  adsurl = {http://adsabs.harvard.edu/abs/2014arXiv1410.2954L},
  archiveprefix = {arXiv},
  eprint = {1410.2954},
  file = {:Luo2014.pdf:PDF},
  keywords = {Computer Science - Systems and Control, Statistics - Machine Learning},
  owner = {Kurt},
  timestamp = {2014.11.07}
}

@MISC{Luo06,
  author = {Wei Luo},
  title = {Learning {B}ayesian Networks in Semi-deterministic Systems},
  howpublished = {http://dx.doi.org/10.1007/11766247\_20},
  year = {2006},
  abstract = {In current constraint-based {(Pearl-style)} systems for discovering
	{B}ayesian networks, inputs with deterministic relations are prohibited.
	This restricts the applicability of these systems. In this paper,
	we formalize a sufficient condition under which {B}ayesian networks
	can be recovered even with deterministic relations. The sufficient
	condition leads to an improvement to Pearl{\textquoteright}s {IC}
	algorithm; other constraint-based algorithms can be similarly improved.
	The new algorithm, assuming the sufficient condition proposed, is
	able to recover {B}ayesian networks with deterministic relations,
	and moreover suffers no loss of performance when applied to nondeterministic
	{B}ayesian networks.},
  journal = {Advances in Artificial Intelligence},
  keywords = {bayes nets,determinism,wei},
  owner = {oliverschulte},
  timestamp = {2008.12.30},
  url = {http://dx.doi.org/10.1007/11766247_20}
}

@INPROCEEDINGS{Luo2006a,
  author = {W. Luo},
  title = {Learning {B}ayesian Networks in Semi-deterministic Systems},
  booktitle = {Canadian AI 2006},
  year = {2006},
  number = {4013},
  series = {LNAI},
  pages = {230-241},
  publisher = {Springer-Verlag},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{luo05:_comput_inclus_depth_patter,
  author = {W. Luo},
  title = {Compute Inclusion Depth of a Pattern.},
  booktitle = {COLT'05},
  year = {2005},
  pages = {689-690},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Luo2005a,
  author = {W. Luo},
  title = {Compute Inclusion Depth of a Pattern.},
  booktitle = {COLT 2005},
  year = {2005},
  volume = {3559},
  series = {Lecture Notes in Computer Science},
  pages = {689-690},
  publisher = {Springer},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@TECHREPORT{Luo2004,
  author = {W. Luo},
  title = {Builing optimal learners},
  institution = {Simon Fraser University},
  year = {2004},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Luo2006,
  author = {W. Luo and O. Schulte},
  title = {Mind Change Efficient Learning},
  journal = {Information and Computation},
  year = {2006},
  volume = {204},
  pages = {989--1011},
  keywords = {oliver},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@CONFERENCE{Lutz,
  author = {Dwight Lutz},
  title = {A Cluster Analysis of NBA Players},
  booktitle = {MIT sloan Sports Analytics Conference},
  year = {2012}
}

@ARTICLE{Lv2012,
  author = {Qiang Lv and Xiaoyan Xia and Peide Qian},
  title = {A fast calculation of metric scores for learning {Bayesian} network},
  journal = {International Journal of Automation and Computing},
  year = {2012},
  volume = {9},
  pages = {37-44},
  keywords = {Frequent counting; radix-based calculation; ADtree; learning Bayesian
	network; metric score},
  owner = {zqian},
  timestamp = {2014.02.20},
  url = {http://dx.doi.org/10.1007/s11633-012-0614-8}
}

@ARTICLE{Linyuan2011,
  author = {Linyuan Lü and Tao Zhou},
  title = {Link prediction in complex networks: A survey},
  journal = {Physica A: Statistical Mechanics and its Applications},
  year = {2011},
  volume = {390},
  pages = {1150 - 1170},
  number = {6},
  __markedentry = {[zqian:1]},
  doi = {10.1016/j.physa.2010.11.027},
  file = {Linyuan2011.pdf:Linyuan2011.pdf:PDF},
  issn = {0378-4371},
  keywords = {Link prediction,Complex networks,Node similarity,Maximum likelihood
	methods,Probabilistic models},
  owner = {zqian},
  timestamp = {2013.02.15},
  url = {http://www.sciencedirect.com/science/article/pii/S037843711000991X}
}

@ARTICLE{Lu2011,
  author = {Linyuan Lü and Tao Zhou},
  title = {Link prediction in complex networks: A survey},
  journal = {Physica A: Statistical Mechanics and its Applications},
  year = {2011},
  volume = {390},
  pages = {1150 - 1170},
  number = {6},
  doi = {10.1016/j.physa.2010.11.027},
  issn = {0378-4371},
  keywords = {Link prediction},
  owner = {zqian},
  timestamp = {2013.02.15},
  url = {http://www.sciencedirect.com/science/article/pii/S037843711000991X}
}

@INPROCEEDINGS{Ma2009,
  author = {Ma, Hao and King, Irwin and Lyu, Michael R.},
  title = {Learning to recommend with social trust ensemble},
  booktitle = {Proceedings of the 32nd international ACM SIGIR conference on Research
	and development in information retrieval},
  year = {2009},
  series = {SIGIR '09},
  pages = {203--210},
  address = {New York, NY, USA},
  publisher = {ACM},
  acmid = {1571978},
  doi = {http://doi.acm.org/10.1145/1571941.1571978},
  isbn = {978-1-60558-483-6},
  keywords = {matrix factorization, recommender systems, social network, social
	trust ensemble},
  location = {Boston, MA, USA},
  numpages = {8},
  url = {http://doi.acm.org/10.1145/1571941.1571978}
}

@INPROCEEDINGS{Ma2008,
  author = {Ma, Hao and Yang, Haixuan and Lyu, Michael R. and King, Irwin},
  title = {SoRec: social recommendation using probabilistic matrix factorization},
  booktitle = {Proceedings of the 17th ACM conference on Information and knowledge
	management},
  year = {2008},
  series = {CIKM '08},
  pages = {931--940},
  address = {New York, NY, USA},
  publisher = {ACM}
}

@INPROCEEDINGS{Macdonald2012,
  author = {Brian Macdonald},
  year = {2012},
  title = {{An Expected Goals Model for Evaluating NHL Teams and Players}},
  language = {English},
  booktitle = {MIT Sloan Sports Analytics Conference},
  abstract = {One difficulty with analyzing performance in hockey is the relatively
	low scor- ing rates compared to sports like basketball. Fenwick rating
	(shots plus missed shots) and Corsi rating (shots, missed shots,
	blocked shots) have been used to an- alyze players and teams because
	they have been shown to be better than goals as a predictor of future
	goals. In this paper, we use variables like faceoffs, hits, and other
	statistics as predictor variables in addition to goals, shots, missed
	shots, and blocked shots, to predict goals. Our models outperform
	previous models with regard to mean squared error of actual goals
	and predicted goals. The results can be interpreted as expected goals
	and can be used in adjusted plus-minus models instead of goals. We
	use ridge regression to estimate a player?s contribution to his team?s
	expected goals per 60 minutes, independent of his teammates, opponents,
	and the zone in which his shifts begin. We also give adjusted plus-minus
	estimates based on goals, shots, Fenwick rating, and Corsi rating
	and use these results along- side the results for expected goals
	to provide an additional means by which NHL analysts, decision-makers,
	and fans can measure how valuable a player is to his team.},
  file = {:/cs/oschulte/kdr4@oschulte/Subversion/texmf/Macdonald2012_NHL-Expected-Goals.pdf:PDF},
  keywords = {NHL Goals},
  owner = {kdr4},
  timestamp = {2013.11.26}
}

@ARTICLE{Macdonald2011,
  author = {Macdonald, Brian},
  title = {A Regression-Based Adjusted Plus-Minus Statistic for NHL Players},
  journal = {Journal of Quantitative Analysis in Sports},
  year = {2011},
  volume = {7},
  pages = {29},
  number = {3},
  file = {:Macdonald2011_A Regression-Based Adjusted Plus-Minus Statistic for NHL Players.pdf:PDF},
  owner = {Kurt},
  timestamp = {2013.12.05}
}

@ELECTRONIC{Macdonald2011a,
  author = {Brian Macdonald},
  month = {March},
  year = {2011},
  title = {An Improved Adjusted Plus-Minus Statistic for NHL Players},
  language = {English},
  organization = {MIT Sloan Sports Analytics Conference 2011},
  url = {http://www.sloansportsconference.com/wp-content/uploads/2011/08/An-Improved-Adjusted-Plus-Minus-Statistic-for-NHL-Players.pdf},
  abstract = {The plus-minus statistic for NHL players is meant to be a measure
	of a player's offensive and defensive abilities. However, a player's
	plus-minus is highly dependent on the team he plays for, the opponents
	he faces, and other variables out of his control, so it is not always
	a good measure of that player's individual contribution to his team.
	In this paper we develop an adjusted plus-minus statistic that attempts
	to isolate a player's individual contribution. Using data from the
	detailed shift reports on NHL.com, we develop two weighted least
	squares regression models to estimate an NHL player's effect on his
	team's success in scoring and preventing goals, independent of that
	player's teammates and opponents. Our initial work focused on even
	strength situations, excluding situations in which one team had pulled
	their goalie. In our current work, we have modeled power play and
	shorthanded situations, and we are able to estimate a player's offensive
	and defensive contributions during those situations. Also, for those
	shifts that begin with a faceoff, we have accounted for the zone
	on the ice in which a shift begins.},
  file = {:/cs/oschulte/kdr4@oschulte/Subversion/texmf/Macdonald2011_An-Improved-Adjusted-Plus-Minus-Statistic-for-NHL-Players.pdf:PDF},
  keywords = {NHL Statistics Plus-Minus},
  owner = {kdr4},
  timestamp = {2013.11.26}
}

@CONFERENCE{Macdonald2011b,
  author = {B. Macdonald},
  title = {An Improved Adjusted Plus-Minus Statistic for NHL Players},
  booktitle = {MIT sloan Sports Analytics Conference},
  year = {2011}
}

@BOOK{Mackay2003,
  title = {Information Theory, Inference, and Learning Algorithms},
  publisher = {Cambridge University Press},
  year = {2003},
  author = {D. Mackay},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{bib:MacKay,
  title = {Information Theory, Inference and Learning Algorithms},
  publisher = {Cambridge University Press},
  year = {2003},
  author = {David J. C. MacKay},
  address = {Cambridge, U.K.},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Mackie1974,
  title = {The cement of the universe: a study of causation},
  publisher = {Oxford : Clarendon Press},
  year = {1974},
  author = {J. L. Mackie},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Mackie1966,
  author = {J. L. Mackie},
  title = {Causes and Conditions},
  journal = {American Philosophical Quarterly},
  year = {1966},
  volume = {2},
  pages = {245-264},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@TECHREPORT{Macskassy2003,
  author = {Macskassy, Sofus A and Provost, Foster},
  title = {A simple relational classifier},
  institution = {DTIC Document},
  year = {2003},
  owner = {zqian},
  timestamp = {2015.04.29}
}

@INPROCEEDINGS{Madigan2004,
  author = {David Madigan},
  title = {Statistics and the War on Spam},
  booktitle = {Statistics, A Guide to the Unknown},
  year = {2004},
  note = {Available: \url{http://www.stat.rutgers.edu/~madigan/PAPERS/sagtu.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.stat.rutgers.edu/~madigan/PAPERS/sagtu.pdf}
}

@ARTICLE{Maervoet2012,
  author = {Maervoet, Joris and Vens, Celine and Vanden Berghe, Greet and Blockeel,
	Hendrik and De Causmaecker, Patrick},
  title = {Outlier Detection in Relational Data: A Case Study in Geographical
	Information Systems},
  journal = {Expert Systems With Applications},
  year = {2012},
  volume = {39},
  pages = {4718--4728},
  number = {5},
  month = apr,
  acmid = {2109460},
  address = {Tarrytown, NY, USA},
  doi = {10.1016/j.eswa.2011.09.125},
  file = {:/local-scratch/SRiahi/Desktop/texmf/Maervoet2012.pdf:PDF},
  issn = {0957-4174},
  issue_date = {April, 2012},
  keywords = {Geographical information systems, Quality maintenance, Relational
	outlier detection, WARMR},
  numpages = {11},
  publisher = {Pergamon Press, Inc.},
  url = {http://dx.doi.org/10.1016/j.eswa.2011.09.125}
}

@ARTICLE{Magel2015,
  author = {Magel, Rhonda and Hoffman, Michael},
  title = {Predicting Salaries of Major League Baseball Players},
  journal = {International Journal of Sports Science},
  year = {2015},
  volume = {5},
  pages = {51--58},
  number = {2},
  publisher = {Scientific \& Academic Publishing}
}

@INPROCEEDINGS{Maier2010,
  author = {Marc Maier and Brian Taylor and Huseyin Oktay and David Jensen},
  title = {Learning Causal Models of Relational Domains},
  booktitle = {AAAI},
  year = {2010},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://www.aaai.org/ocs/index.php/AAAI/AAAI10/paper/view/1919},
  file = {Maier2010.pdf:Maier2010.pdf:PDF},
  review = {still uses aggregatin. doesn't give details on how to do statistical
	tests.}
}

@ARTICLE{bib:makinson,
  author = {D. Makinson},
  title = {On the Status of the Postulate of Recovery in the Logic of Theory
	Change},
  journal = {Journal of Philosophical Logic},
  year = {1987},
  volume = {16},
  pages = {383-394},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{bib:garden-nonmon,
  author = {David Makinson and Peter G{\"a}rdenfors},
  title = {Relations Between the Logic of Theory Change and Nonmonotonic Logic},
  booktitle = {The Logic of Theory Change},
  year = {1991},
  pages = {185--205},
  address = {Berlin},
  publisher = {Springer},
  editors = {A. Fuhrmann and M. Morreau},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Malossini2006,
  author = {Malossini, Andrea and Blanzieri, Enrico and Ng, Raymond T.},
  title = {Detecting potential labeling errors in microarrays by data perturbation.},
  journal = {Bioinformatics},
  year = {2006},
  volume = {22},
  pages = {2114-2121},
  number = {17},
  added-at = {2006-08-28T00:00:00.000+0200},
  biburl = {http://www.bibsonomy.org/bibtex/27898af6c2ed33cddd821199d47d4c288/dblp},
  date = {2006-08-28},
  description = {dblp},
  ee = {http://dx.doi.org/10.1093/bioinformatics/btl346},
  file = {:/local-scratch/repository/texmf/Malossini2006.pdf:PDF},
  interhash = {018bd29b3831a89c5d1c1751dc141c13},
  intrahash = {7898af6c2ed33cddd821199d47d4c288},
  keywords = {dblp},
  timestamp = {2006-08-28T00:00:00.000+0200},
  url = {http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics22.html#MalossiniBN06}
}

@TECHREPORT{Manjunath2009,
  author = {Manjunath, G. and Murty, M.N. and Sitaram, D.},
  title = {A Heterogeneous Naive-Bayesian Classifier for Relational Databases},
  institution = {HP Laboratories},
  year = {2009},
  file = {Manjunath2009.pdf:Manjunath2009.pdf:PDF},
  keywords = {statistical-relational},
  owner = {oschulte},
  review = {quite a beautiful idea: sort join tables so they become a tree. Then
	for each table, write P(T,succ(T),C) = P(succ(T)|T,C) x P(T|C) xP(C).
	Actually, they don't do that (see SQL example on p.5), but it seems
	like a neat idea.},
  timestamp = {2010.01.27},
  url = {http://www.hpl.hp.com/techreports/2009/HPL-2009-225.html}
}

@INPROCEEDINGS{Manjunath2010,
  author = {Geetha Manjunath and M. Narasimha Murty and Dinkar Sitaram},
  title = {A Practical Heterogeneous Classifier for Relational Databases},
  booktitle = {ICPR},
  year = {2010},
  pages = {3316-3319},
  publisher = {IEEE Computer Society},
  owner = {oliverschulte},
  timestamp = {2011.04.09}
}

@ARTICLE{Marek2014,
  author = {Marek, P. and ?edivá, B. and ?oupal, T.},
  title = {Modeling and prediction of ice hockey match results},
  journal = {Journal of Quantitative Analysis in Sports},
  year = {2014},
  volume = {10},
  pages = {357-365},
  number = {3},
  abstract = {Modeling and prediction of ice hockey match results are not as widely
	examined areas as modeling and prediction of association football
	match results. It is assumed that match results in football and ice
	hockey can be modeled by the bivariate Poisson distribution or by
	some modification of this distribution. The aim of this paper is
	to explore the possibility of using models derived for football match
	results also for ice hockey match results and to propose some modifications
	of these models. A new model based on alternative definition of the
	bivariate Poisson distribution is presented. The models are tested
	on historical data from the highest-level ice hockey league in the
	Czech Republic between the years 1999 and 2012.},
  owner = {Kurt},
  timestamp = {2015.03.06}
}

@PHDTHESIS{Margaritis2003,
  author = {Dimitris Margaritis},
  title = {Learning {B}ayesian Network Model Structure from Data},
  school = {School of Computer Science, Carnegie-Mellon University},
  year = {2003},
  address = {Pittsburgh, PA},
  month = {May},
  note = {Available as Technical Report CMU-CS-03-153},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{margaritis00:_bayes_networ_induc_local_neigh,
  author = {D. Margaritis and S. Thrun},
  title = {{B}ayesian Network Induction via Local Neighborhoods},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2000},
  volume = {12},
  pages = {505-511},
  publisher = {MIT Press},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Margaritis2000,
  author = {D. Margaritis and S. Thrun},
  title = {{B}ayes. Net. Induction via Local Neighbor.},
  booktitle = {NIPS},
  year = {2000},
  pages = {505-511},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@TECHREPORT{Margaritis1999,
  author = {D. Margaritis and S. Thrun},
  title = {{B}ayesian Network Induction via Local Neighborhoods},
  institution = {school of computer science, Carnegie Mellon University},
  year = {1999},
  number = {TR CMU-CS-99-134},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@TECHREPORT{MarijtjeA.J.vanDuijn2007,
  author = {{Marijtje A.J. van Duijn} and Krista Gile and Mark S. Handcock},
  title = {Comparison of Maximum Pseudo Likelihood and Maximum Likelihood Estimation
	of Exponential Family Random Graph Models},
  institution = {Center for Statistics and the Social Sciences, University of Washington},
  year = {2007},
  type = {Working Paper},
  number = {74},
  file = {MarijtjeA.J.vanDuijn2007.pdf:MarijtjeA.J.vanDuijn2007.pdf:PDF},
  keywords = {statistical-relational},
  owner = {oliverschulte},
  review = {compares pseudo-likelihood and max likelihood for social network model.},
  timestamp = {2010.06.07}
}

@BOOK{bib:martin,
  title = {Elements of Scientific Discovery},
  publisher = {MIT Press},
  year = {1998},
  author = {Eric Martin and Daniel Osherson},
  address = {Cambridge, Mass.},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Martin1998,
  title = {Elements of Scientific Inquiry},
  publisher = {The MIT Press},
  year = {1998},
  author = {E. Martin and D. N. Osherson},
  address = {Cambridge, Massachusetts},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Martin2005,
  author = {E. Martin and A. Sharma},
  title = {On a Syntactic Characterization of Classification with a Mind Change
	Bound},
  booktitle = {COLT 2005},
  year = {2005},
  number = {3559},
  series = {Lecture Notes in Computer Science},
  pages = {413-428},
  publisher = {Springer},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Martin2002,
  author = {E. Martin and A. Sharma and F. Stephan},
  title = {Learning, Logic, and Topology in a Common Framework},
  booktitle = {Proceedings of the 13th International Conference on Algorithmic Learning
	Theory},
  year = {2002},
  pages = {248--262},
  publisher = {Springer-Verlag},
  isbn = {3-540-00170-0},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Massa2007,
  author = {Massa, Paolo and Avesani, Paolo},
  title = {Trust-aware recommender systems},
  booktitle = {Proceedings of the 2007 ACM conference on Recommender systems},
  year = {2007},
  series = {RecSys '07},
  pages = {17--24},
  address = {New York, NY, USA},
  publisher = {ACM},
  acmid = {1297235},
  doi = {http://doi.acm.org/10.1145/1297231.1297235},
  isbn = {978-1-59593-730--8},
  location = {Minneapolis, MN, USA},
  numpages = {8},
  url = {http://doi.acm.org/10.1145/1297231.1297235}
}

@INPROCEEDINGS{Massey2003,
  author = {Bart Massey and Mick Thomure and Raya Budrevich and Scott Long},
  title = {Learning Spam: Simple Techniques for Freely-Available Software},
  booktitle = {Proceeding of the 2003 Usenix Annual Technical Conference, Freenix
	Track},
  year = {2003},
  note = {Available: \url{http://nexp.cs.pdx.edu/twiki-psam/pub/PSAM/PsamDocumentation/spam.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = { http://nexp.cs.pdx.edu/twiki-psam/pub/PSAM/PsamDocumentation/spam.pdf}
}

@TECHREPORT{mondial,
  author = {Wolfgang May},
  title = {Information extraction and integration: The Mondial case study},
  institution = {Universit{\"a}t Freiburg, Institut f{\"u}r Informatik},
  year = {1999},
  owner = {bba18},
  timestamp = {2010.10.13}
}

@INPROCEEDINGS{Mayfield2010,
  author = {Mayfield, Chris and Neville, Jennifer and Prabhakar, Sunil},
  title = {ERACER: a database approach for statistical inference and data cleaning},
  booktitle = {Proceedings of the 2010 ACM SIGMOD International Conference on Management
	of data},
  year = {2010},
  pages = {75--86},
  organization = {ACM}
}

@TECHREPORT{Mazique,
  author = {Brian Mazique},
  title = {Dissecting Which Position Is Most Important Towards Winning an NBA
	Championship},
  year = {2012},
  timestamp = {2012.06.06},
  url = {http://bleacherreport.com/articles/1210762-dissecting-which-position-is-most-important-towards-winning-an-nba-championship}
}

@ARTICLE{Mccallum1999,
  author = {Mccallum, Andrew and Nigam, Kamal and Rennie, Jason and Seymore,
	Kristie },
  title = {A Machine Learning Approach to Building Domain-Specific Search Engines},
  year = {1999},
  booktitle = {The Sixteenth International Joint Conference on Artificial Intelligence
	(IJCAI-99)},
  citeulike-article-id = {1426070},
  keywords = {machine-learning, search-engine},
  owner = {hkhosrav},
  posted-at = {2007-07-10 01:56:33},
  priority = {2},
  timestamp = {2009.06.02},
  url = {http://citeseer.ist.psu.edu/mccallum99machine.html}
}

@inproceedings{McCallum1998,
  author    = {Andrew McCallum and
               Ronald Rosenfeld and
               Tom M. Mitchell and
               Andrew Y. Ng},
  title     = {Improving Text Classification by Shrinkage in a Hierarchy of Classes},
  booktitle = {Proceedings of the Fifteenth International Conference on Machine Learning
               {(ICML} 1998), Madison, Wisconsin, USA, July 24-27, 1998},
  pages     = {359--367},
  year      = {1998}
}

@INPROCEEDINGS{mccallum1996learning,
  author = {McCallum, Andrew Kachites and others},
  title = {Learning to use selective attention and short-term memory in sequential
	tasks},
  booktitle = {Proceedings SAB},
  year = {1996},
  volume = {4},
  pages = {315--325}
}

@ARTICLE{mchale2012development,
  author = {McHale, Ian G and Scarf, Philip A and Folker, David E},
  title = {On the development of a soccer player performance rating system for
	the English Premier League},
  journal = {Interfaces},
  year = {2012},
  volume = {42},
  pages = {339--351},
  number = {4},
  publisher = {Informs}
}

@INPROCEEDINGS{McMahan2004,
  author = {Benjamin J. McMahan and Guoqiang Pan and Patrick Porter and Moshe
	Y. Vardi},
  title = {Projection Pushing Revisited},
  booktitle = {EDBT},
  year = {2004},
  pages = {441-458},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://springerlink.metapress.com/openurl.asp?genre=article{\&}issn=0302-9743{\&}volume=2992{\&}spage=441},
  file = {McMahan2004.pdf:McMahan2004.pdf:PDF}
}

@PHDTHESIS{Meek1997,
  author = {C. Meek},
  title = {Graphical Models: Selecting causal and statistical models},
  school = {CMU},
  year = {1997},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Meek1995,
  author = {C. Meek},
  title = {Causal inference and causal explanation with background knowledge},
  booktitle = {UAI'95: Proceedings of the Eleventh Annual Conference on Uncertainty
	in Artificial Intelligence},
  year = {1995},
  pages = {403-410},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Meert2009,
  author = {Meert, Wannes and Struyf, Jan and Blockeel, Hendrik},
  title = {Learning Ground CP-Logic Theories by Leveraging Bayesian Network
	Learning Techniques},
  journal = {Fundamenta Informaticae},
  year = {2009},
  volume = {89},
  pages = {131--160},
  month = {January},
  acmid = {1497104},
  address = {Amsterdam, The Netherlands, The Netherlands},
  file = {Meert2009.pdf:Meert2009.pdf:PDF},
  issn = {0169-2968},
  issue = {1},
  keywords = {CP-logic, Statistical Relational Learning},
  numpages = {30},
  publisher = {IOS Press},
  url = {http://portal.acm.org/citation.cfm?id=1497096.1497104}
}

@INPROCEEDINGS{Mehrasa2018,
  author = {Nazanin Mehrasa and Yatao Zhong and Frederick Tung and Luke Bornn
	and Greg Mori},
  title = {Deep Learning of Player Trajectory Representations for Team
	Activity Analysis},
  booktitle = {MIT Sloan Sports Analytics Conference},
  year = {2018},
  owner = {oschulte},
  timestamp = {2018.06.02}
}

@INPROCEEDINGS{Mehrasa2018a,
  author = {N. Mehrasa and Y. Zhong and F. Tung and L. Bornn, and G. Mori},
  title = {Deep learning of player trajectory representations for team activity
	analysis},
  booktitle = {MIT Sloan Sports Analytics Conference},
  year = {2018},
  owner = {oschulte},
  timestamp = {2018.08.01}
}

@INPROCEEDINGS{MazenMelibari2016,
  author = {Mazen Melibari and Pascal Poupart and Prashant Doshi and George Trimponias},
  title = {Dynamic Sum-Product Networks for Tractable Inference on Sequence
	Data},
  booktitle = {International Conference on Probabilistic Graphical Models (PGM)},
  year = {2016},
  owner = {oschulte},
  timestamp = {2018.06.02}
}

@ARTICLE{Menon2011,
  author = {Menon, A. and Elkan, C.},
  title = {Link prediction via matrix factorization},
  journal = {Machine Learning and Knowledge Discovery in Databases},
  year = {2011},
  pages = {437--452},
  publisher = {Springer}
}

@INCOLLECTION{bib:meyer,
  author = {T. Meyer},
  title = {Basic Infobase Change},
  booktitle = {Advanced Topics in Artificial Intelligence},
  publisher = {Springer-Verlag},
  year = {1999},
  editor = {Norman Foo},
  pages = {156-167},
  address = {Berlin},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Meyer2004,
  author = {T.A Meyer and B Whateley},
  title = {Spam{B}ayes: Effective open-source, {B}ayesian based, email classification
	system},
  booktitle = {Proceedings of the First Conference on Email and Anti-Spam (CEAS)},
  year = {2004},
  note = {Available: \url{http://www.ceas.cc/papers-2004/136.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.ceas.cc/papers-2004/136.pdf}
}

@INPROCEEDINGS{Michelakis2004,
  author = {Eirinaios Michelakis and Ion Androutsopoulos and Georgios Paliouras
	and George Sakkis and Panagiotis Stamatopoulos},
  title = {Filtron: A Learning-Based Anti-Spam Filter},
  booktitle = {Proceedings of the First Conference on Email and Anti-Spam (CEAS)},
  year = {2004},
  note = {Available: \url{http://www.ceas.cc/papers-2004/142.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.ceas.cc/papers-2004/142.pdf}
}

@INPROCEEDINGS{Mihalkova2007,
  author = {Lilyana Mihalkova and Raymond J. Mooney},
  title = {Bottom-up learning of {Markov} logic network structure},
  booktitle = {ICML},
  year = {2007},
  pages = {625-632},
  publisher = {ACM},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://doi.acm.org/10.1145/1273496.1273575}
}

@INCOLLECTION{Milch2007,
  author = {Milch, B. and Marthi, B. and Russell, S. and Sontag, D. and Ong,
	D.L. and Kolobov, A.},
  title = {{BLOG}: Probabilistic Models with Unknown Objects},
  booktitle = {Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  pages = {373--395}
}

@INCOLLECTION{Mitchell1990,
  author = {T. M. Mitchell},
  title = {Generalization as Search},
  booktitle = {Readings in Machine Learning},
  publisher = {Kaufmann},
  year = {1990},
  editor = {J. W. Shavlik and T. G. Dietterich},
  pages = {96-107},
  address = {San Mateo, CA},
  keywords = {version space, concept lattice},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Mitchell1997,
  title = {Machine Learning},
  publisher = {McGraw-Hill},
  year = {1997},
  author = {Tom M. Mitchell},
  address = {New York},
  comment = {Tom M. Mitchell. Includes bibliographical references and indexes.
	1. Introduction -- 2. Concept Learning and the General-to-Specific
	Ordering -- 3. Decision Tree Learning -- 4. Artificial Neural Networks
	-- 5. Evaluating Hypotheses -- 6. {B}ayesian Learning -- 7. Computational
	Learning Theory -- 8. Instance-Based Learning -- 9. Genetic Algorithms
	-- 10. Learning Sets of Rules -- 11. Analytical Learning -- 12. Combining
	Inductive and Analytical Learning -- 13. Reinforcement Learning.},
  keywords = {machine learning, honours reading},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{MITCHELL-GEN-SEARCH,
  author = {T. M. Mitchell},
  title = {Generalization as Search},
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  year = {1982},
  volume = {18},
  pages = {203--226},
  key = {Mitchell},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Miyano2000,
  author = {Satoru Miyano and Ayumi Shinohara and Takeshi Shinohara},
  title = {Polynomial-time learning of elementary formal systems},
  journal = {New Gen. Comput.},
  year = {2000},
  volume = {18},
  pages = {217--242},
  number = {3},
  issn = {0288-3635},
  owner = {hkhosrav},
  publisher = {Ohmsha},
  timestamp = {2008.10.08}
}

@ARTICLE{mnih2013playing,
  author = {Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Graves,
	Alex and Antonoglou, Ioannis and Wierstra, Daan and Riedmiller, Martin},
  title = {Playing atari with deep reinforcement learning},
  journal = {arXiv preprint arXiv:1312.5602},
  year = {2013}
}

@ARTICLE{Mnih2015,
  author = {Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and others},
  title = {Human-level control through deep reinforcement learning},
  journal = {Nature},
  year = {2015},
  volume = {518},
  pages = {529--533},
  number = {7540},
  publisher = {Nature Research}
}

@ARTICLE{Mnih2015a,
  author = {Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Rusu,
	Andrei A and Veness, Joel and Bellemare, Marc G and Graves, Alex
	and Riedmiller, Martin and Fidjeland, Andreas K and Ostrovski, Georg
	and others},
  title = {Human-level control through deep reinforcement learning},
  journal = {Nature},
  year = {2015},
  volume = {518},
  pages = {529--533},
  number = {7540},
  publisher = {Nature Research}
}

@MISC{monti-learning,
  author = {S. Monti and G. Cooper},
  title = {Learning Hybrid {B}ayesian Networks from Data},
  owner = {oliverschulte},
  text = {Monti, S., & Cooper, G. F. (1998b). Learning Hybrid {B}ayesian Networks
	from Data. Learning in Graphical Models. Kluwer Academic Publishers.},
  timestamp = {2008.12.30},
  url = {citeseer.ist.psu.edu/monti98learning.html}
}

@ARTICLE{Moore1998,
  author = {Andrew W. Moore and Mary S. Lee},
  title = {Cached Sufficient Statistics for Efficient Machine Learning with
	Large Datasets},
  journal = {J. Artif. Intell. Res. (JAIR)},
  year = {1998},
  volume = {8},
  pages = {67-91},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1613/jair.453}
}

@INPROCEEDINGS{Morales:2004:LFC:1015330.1015384,
  author = {Morales, Eduardo F. and Sammut, Claude},
  title = {{Learning to Fly by Combining Reinforcement Learning with Behavioural
	Cloning}},
  booktitle = {Proceedings of the Twenty-first International Conference on Machine
	Learning},
  year = {2004},
  series = {ICML '04},
  pages = {76--},
  address = {New York, NY, USA},
  publisher = {ACM},
  acmid = {1015384},
  doi = {10.1145/1015330.1015384},
  isbn = {1-58113-838-5},
  location = {Banff, Alberta, Canada},
  owner = {oschulte},
  timestamp = {2018.06.02},
  url = {http://doi.acm.org/10.1145/1015330.1015384}
}

@BOOK{bib:moscho,
  title = {Descriptive Set Theory},
  publisher = {Elsevier-North Holland},
  year = {1980},
  author = {Yiannis Moschovakis},
  address = {New York},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Moskowitz2012,
  title = {Scorecasting: The Hidden Influences Behind How Sports Are Played
	and Games Are Won},
  publisher = {Crown Publishing Group},
  year = {2012},
  author = {Moskowitz, T.J. and Wertheim, L.J.},
  owner = {Kurt},
  timestamp = {2014.12.24},
  url = {http://books.google.ca/books?id=oZ7bCte5\_xUC}
}

@ELECTRONIC{Motl2015,
  author = {Jan Motl and Oliver Schulte},
  month = {November},
  year = {2015},
  title = {The CTU Prague Relational Learning Repository},
  language = {English},
  howpublished = {e-print Archive},
  organization = {arXiv.org},
  url = {http://arxiv.org/abs/1511.03086},
  owner = {oschulte},
  timestamp = {2015.11.11}
}

@ARTICLE{Motl2015a,
  author = {Jan Motl and Oliver Schulte},
  title = {The {CTU} Prague Relational Learning Repository},
  journal = {CoRR},
  year = {2015},
  volume = {abs/1511.03086},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/MotlS15},
  timestamp = {Tue, 01 Dec 2015 19:22:34 +0100},
  url = {http://arxiv.org/abs/1511.03086}
}

@INPROCEEDINGS{Motoki1991,
  author = {T. Motoki and T. Shinohara and K. Wright},
  title = {The correct definition of finite elasticity: corrigendum to identification
	of unions},
  booktitle = {Proceedings of COLT 1991},
  year = {1991},
  pages = {375},
  publisher = {Morgan Kaufmann Publishers Inc.},
  isbn = {1-55860-213-5},
  location = {Santa Cruz, California, United States},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{bib:progol,
  author = {S. Muggleton},
  title = {Inverse Entailment and {\sc Progol}},
  journal = {New Generation Computing},
  year = {1995},
  volume = {13},
  pages = {245--286},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Muggleton1991,
  author = {Stephen Muggleton},
  title = {Inductive logic programming},
  journal = {New Gen. Comput.},
  year = {1991},
  volume = {8},
  pages = {295--318},
  number = {4},
  issn = {0288-3635},
  owner = {hkhosrav},
  publisher = {Ohmsha},
  timestamp = {2008.10.08}
}

@INCOLLECTION{Muggleton2001,
  author = {Stephen Muggleton and John Firth},
  title = {Relational Rule Induction with CProgol4.4: A Tutorial Introduction},
  booktitle = {Relational Data Mining},
  publisher = {Springer Verlag},
  year = {2001},
  editor = {Saso Dzeroski and Nada Lavrac},
  chapter = {7},
  keywords = {statistical-relational},
  owner = {oschulte},
  timestamp = {2008.10.11}
}

@INCOLLECTION{Mukouchi1993,
  author = {Y. Mukouchi},
  title = {Inductive Inference with Bounded Mind Changes},
  booktitle = {Proceedings of ALT 1992},
  publisher = {Springer},
  year = {1993},
  editor = {S. Doshita and K. Furukawa and K. P. Jantke and T. Nishida},
  pages = {125-134},
  address = {Berlin, Heidelberg},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Mukouchi1991,
  author = {Yasuchito Mukouchi},
  title = {Characterization of Pattern Languages},
  booktitle = {Proc. 2nd workshop on algorithmic learning theory (ALT'91)},
  year = {1991},
  pages = {93-104},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Murphy2012,
  title = {Machine learning: A probabilistic perspective.},
  publisher = {MIT Press},
  year = {2012},
  author = {Kevin Murphy},
  owner = {oschulte},
  timestamp = {2017.02.15}
}

@INPROCEEDINGS{Murphy2001,
  author = {K. P. Murphy},
  title = {The {B}ayes Net Toolbox for MATLAB},
  booktitle = {Computing Science and Statistics},
  year = {2001},
  volume = {33},
  pages = {1-20},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@TECHREPORT{Murphy1998,
  author = {Murphy, Kevin P},
  title = {Inference and learning in hybrid bayesian networks},
  institution = {University of California, Berkeley, Computer Science Division},
  year = {1998},
  number = {UCB/USC-98-990},
  owner = {oschulte},
  timestamp = {2015.07.01}
}

@INPROCEEDINGS{Murphy1999,
  author = {Kevin P. Murphy and Yair Weiss and Michael I. Jordan},
  title = {Loopy Belief Propagation for Approximate Inference: An Empirical
	Study},
  booktitle = {In Proceedings of Uncertainty in AI},
  year = {1999},
  pages = {467--475},
  owner = {hkhosrav},
  timestamp = {2009.08.26}
}

@ARTICLE{Murphy2004,
  author = {R. Murphy},
  title = {Human-robot interaction in resuce robotics},
  journal = {IEEE Syst},
  year = {2004},
  volume = {34},
  pages = {138-153},
  owner = {hkhosrav},
  timestamp = {2009.01.31}
}

@ARTICLE{Myers2004,
  author = {Myers, Nicholas D. and Payment, Craig A. and Feltz, Deborah L.},
  title = {Reciprocal Relationships Between Collective Efficacy and Team Performance
	in Women's Ice Hockey.},
  journal = {Group Dynamics: Theory, Research, and Practice},
  year = {2004},
  volume = {8},
  pages = {182 - 195},
  number = {3},
  abstract = {This study examined reciprocal relationships between collective efficacy
	and team performance over a season of competition in women's intercollegiate
	ice hockey within weekends where the opponent was constant for 2
	games. Collective efficacy beliefs within 12 teams were assessed
	prior to both games for at least 7 weekends. Team performance indexes
	produced an overall measure of performance for each game. The average
	influence of Saturday collective efficacy on Saturday performance
	was moderate and positive after controlling for Friday performance.
	The average influence of Friday performance on Saturday collective
	efficacy was small and positive after removing the influence of Friday
	collective efficacy from Friday performance.},
  keywords = {collective efficacy, team performance, women's intercollegiate ice
	hockey, Athletic Performance, Collective Behavior, Group Performance,
	Self Efficacy, Teams, College Athletes, Sports},
  owner = {Kurt},
  timestamp = {2013.12.02},
  url = {http://proxy.lib.sfu.ca/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=pdh&AN=2004-18408-003&site=ehost-live}
}

@INPROCEEDINGS{Ahmed2010,
  author = {N. Ahmed, F. Berchmans, J. Neville, and R. Kompella.},
  title = {Time-Based Sampling of Social Network Activity Graphs.},
  booktitle = {Proceedings of the 8th Workshop on Mining and Learning with Graphs.},
  year = {2010},
  note = {URL = \url{http://www.cs.sfu.ca/~hkhosrav/personal/jbn/}},
  file = {Ahmed2010.pdf:Ahmed2010.pdf:PDF},
  keywords = {statistical-relational},
  owner = {oliverschulte},
  timestamp = {2009.10.02}
}

@INPROCEEDINGS{Ahmed2010a,
  author = {N. Ahmed, J. Neville, and R. Kompella.},
  title = {Reconsidering the Foundations of Network Sampling.},
  booktitle = {Proceedings of the 2nd Workshop on Information in Networks,},
  year = {2010},
  owner = {oschulte},
  timestamp = {2011.05.02}
}

@ARTICLE{Nadeau2008,
  author = {Luc Nadeau and Paul Godbout and Jean-Fran?ois Richard},
  title = {Assessment of ice hockey performance in real-game conditions},
  journal = {European Journal of Sport Science},
  year = {2008},
  volume = {8},
  pages = {379--388},
  number = {6},
  doi = {10.1080/17461390802284456},
  owner = {Kurt},
  timestamp = {2013.12.02}
}

@INPROCEEDINGS{Namata2011,
  author = {Namata, Galileo Mark and Kok, Stanley and Getoor, Lise},
  title = {Collective graph identification},
  booktitle = {Proceedings of the 17th ACM SIGKDD international conference on Knowledge
	discovery and data mining},
  year = {2011},
  series = {KDD '11},
  pages = {87--95},
  address = {New York, NY, USA},
  publisher = {ACM},
  acmid = {2020429},
  doi = {10.1145/2020408.2020429},
  isbn = {978-1-4503-0813-7},
  keywords = {collective classification, entity resolution, link prediction, semi-supervised
	learning},
  location = {San Diego, California, USA},
  numpages = {9},
  url = {http://doi.acm.org/10.1145/2020408.2020429}
}

@MISC{Narsky2005,
  author = {I. Narsky},
  title = {Optimization of Signal Significance by Bagging Decision Trees},
  year = {2005},
  owner = {oschulte},
  timestamp = {2009.01.07},
  url = {http://www.citebase.org/abstract?id=oai:arXiv.org:physics/0507157}
}

@INPROCEEDINGS{Natarajan1987,
  author = {B. K. Natarajan},
  title = {On Learning Boolean Functions},
  booktitle = {Proceedings of the Nineteenth Annual ACM Symposium on Theory of Computing},
  year = {1987},
  pages = {296-304},
  address = {New York},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Natarajan2012,
  author = {Sriraam Natarajan and Tushar Khot and Kristian Kersting and Bernd
	Gutmann and Jude W. Shavlik},
  title = {Gradient-based boosting for statistical relational learning: The
	relational dependency network case},
  journal = {Machine Learning},
  year = {2012},
  volume = {86},
  pages = {25-56},
  number = {1},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1007/s10994-011-5244-9},
  keywords = {statistical-relational}
}

@INPROCEEDINGS{Natarajan2010,
  author = {Sriraam Natarajan and Tushar Khot and Daniel Lowd and Prasad Tadepalli
	and Kristian Kersting and Jude W. Shavlik},
  title = {Exploiting Causal Independence in Markov Logic Networks: Combining
	Undirected and Directed Models},
  booktitle = {ECML/PKDD (2)},
  year = {2010},
  pages = {434-450},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1007/978-3-642-15883-4_28}
}

@INPROCEEDINGS{Natarajan2010a,
  author = {Natarajan, Sriraam and Kunapuli, Gautam and Judah, Kshitij and Tadepalli,
	Prasad and Kersting, Kristian and Shavlik, Jude},
  title = {Multi-agent inverse reinforcement learning},
  booktitle = {Machine Learning and Applications (ICMLA), 2010 Ninth International
	Conference on},
  year = {2010},
  pages = {395--400},
  organization = {IEEE}
}

@ARTICLE{Natarajan2008,
  author = {Sriraam Natarajan and Prasad Tadepalli and Thomas G. Dietterich and
	Alan Fern},
  title = {Learning first-order probabilistic models with combining rules},
  journal = {Annals of Mathematics and Artifical Intelligence},
  year = {2008},
  volume = {54},
  pages = {223-256},
  number = {1-3},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1007/s10472-009-9138-5},
  file = {Natarajan2008.pdf:Natarajan2008.pdf:PDF},
  keywords = {statistical-relational}
}

@CONFERENCE{Natarajan2005,
  author = {Sriraam Natarajan and Prasad Tadepalli and Thomas G. Dietterich and
	Alan Fern},
  title = {Learning first order probabilistic models with combining rules},
  booktitle = {Proc. of the 22nd International Conference on Machine Learning (ICML)},
  year = {2005},
  file = {Natarajan2005.pdf:Natarajan2005.pdf:PDF},
  keywords = {statistical-relational},
  owner = {hkhosrav},
  timestamp = {2008.10.10}
}

@MISC{Nath2012,
  author = {Aniruddh Nath and Pedro Domingos},
  title = {Learning Multiple Hierarchical Relational Clusterings},
  howpublished = {SRL Workshop ICML},
  month = {June},
  year = {2012},
  file = {Nath2012.pdf:Nath2012.pdf:PDF},
  keywords = {statistical-relational},
  owner = {oliverschulte},
  timestamp = {2013.10.18}
}

@MISC{NHL2014,
  author = {{National Hockey League}},
  title = {National Hockey League Official Rules 2014-2015},
  howpublished = {\url{http://www.nhl.com/nhl/en/v3/ext/rules/2014-2015-rulebook.pdf}},
  year = {2014},
  file = {:NHLRulebook2014.pdf:PDF},
  owner = {Kurt},
  timestamp = {2015.01.25},
  url = {http://www.nhl.com/nhl/en/v3/ext/rules/2014-2015-rulebook.pdf}
}

@ARTICLE{bib:nayak,
  author = {A. C. Nayak},
  title = {Iterated Belief Change Based on Epistemic Entrenchment},
  journal = {Erkenntnis},
  year = {1994},
  volume = {41},
  pages = {353-390},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{bib:neeman,
  title = {The Particle Hunters},
  publisher = {Cambridge University Press},
  year = {1983},
  author = {Yuval Ne'eman and Yoram Kirsh},
  address = {Cambridge},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Neapolitan2004,
  title = {Learning {B}ayesian Networks},
  publisher = {Pearson Education},
  year = {2004},
  author = {R. E. Neapolitan},
  keywords = {digging},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{nebel:jair-2000,
  author = {Bernhard Nebel},
  title = {On the compilability and expressive power of propositional planning
	formalisms},
  journal = {Journal of Artificial Intelligence Research},
  year = {2000},
  volume = {12},
  pages = {271--315},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{bib:nebel,
  author = {B. Nebel},
  title = {Base Revision Operations and Schemes: representation, Semantics and
	Complexity},
  booktitle = {Proceedings of the 11th European Conference on Artificial Intelligence},
  year = {1994},
  pages = {341-345},
  address = {Berlin},
  publisher = {Springer},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{bib:nebel1,
  author = {B. Nebel},
  title = {A Knowledge Level Analysis of Belief Revision},
  booktitle = {Proceedings of the First International Conference on Principles of
	Knowledge Representation and Reasoning},
  year = {1989},
  pages = {301-311},
  address = {Los Altos},
  publisher = {Morgan Kaufmann},
  editors = {R. J. Brachman, H. J. Levesque and R. Reiter},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Neville2009,
  author = {Jennifer Neville and Brian Gallagher and Tina Eliassi-Rad},
  title = {Evaluating Statistical Tests for Within-Network Classifiers of Relational
	Data},
  booktitle = {ICDM},
  year = {2009},
  pages = {397-406},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2009.50},
  file = {Neville2009.pdf:Neville2009.pdf:PDF},
  keywords = {statistical-relational}
}

@ARTICLE{Neville2007,
  author = {Neville, Jennifer and Jensen, David},
  title = {Relational Dependency Networks},
  journal = {Journal of Machine Learning Research},
  year = {2007},
  volume = {8},
  pages = {653--692},
  address = {Cambridge, MA, USA},
  file = {:D\:\\Hassan\\Subversion related\\references\\neville-jmlr2007.pdf:PDF;Neville2007.pdf:Neville2007.pdf:PDF},
  issn = {1533-7928},
  owner = {hkhosrav},
  publisher = {MIT Press},
  timestamp = {2009.06.02}
}

@INPROCEEDINGS{nevilliter2000,
  author = {Jennifer Neville and David Jensen},
  title = {Iterative Classification in Relational Data},
  booktitle = {Proceedings of the AAAI 2000 Workshop Learning Statistical Models
	from Relational Data. AAAI Press. pp. 42-49},
  year = {2000},
  owner = {bba18},
  timestamp = {2010.01.26}
}

@INPROCEEDINGS{Neville2003a,
  author = {Neville, Jennifer and Jensen, David and Friedland, Lisa and Hay,
	Michael},
  title = {Learning relational probability trees},
  booktitle = {KDD},
  year = {2003},
  pages = {625--630},
  publisher = {ACM Press},
  citeulike-article-id = {149283},
  file = {:D\:\\Hassan\\Subversion related\\references\\p625-neville.pdf:PDF},
  isbn = {1581137370},
  journal = {KDD},
  keywords = {bayesian},
  owner = {oschulte},
  posted-at = {2008-02-08 19:31:24},
  priority = {2},
  timestamp = {2009.05.25}
}

@CONFERENCE{Neville2003,
  author = {Neville, J. and Jensen, D. and Gallagher, B. and Fairgrieve, R.},
  title = {Simple estimators for relational bayesian classifiers},
  booktitle = {ICDM},
  year = {2003},
  abstract = {Nice point: the geometric mean (independent value) uses extreme values
	more. arithmetic mean washes out extreme values if there are many
	irrelevant ones. Jensen does not seem to have considered Kurt's binning
	idea.},
  comment = {Pages: 609-612, Publisher: IEEE Computer Society},
  file = {Neville2003.pdf:Neville2003.pdf:PDF}
}

@ARTICLE{bib:newman,
  author = {M. E. J. Newman},
  title = {The structure and function of complex networks},
  journal = {SIAM Reviews},
  year = {2003},
  volume = {45(2)},
  pages = {167-256},
  owner = {oschulte},
  timestamp = {2008.11.24}
}

@INPROCEEDINGS{Ng2002,
  author = {Andrew Y. Ng and Michael I. Jordan},
  title = {On Discriminative vs. Generative Classifiers: A comparison of logistic
	regression and naive Bayes},
  booktitle = {NIPS},
  year = {2001},
  volume = {14},
  pages = {841-848},
  publisher = {MIT Press},
  owner = {oliverschulte},
  timestamp = {2010.07.29}
}

@INPROCEEDINGS{Ng:2000:AIR:645529.657801,
  author = {Ng, Andrew Y. and Russell, Stuart J.},
  title = {{Algorithms for Inverse Reinforcement Learning}},
  booktitle = {Proceedings of the Seventeenth International Conference on Machine
	Learning},
  year = {2000},
  series = {ICML '00},
  pages = {663--670},
  address = {San Francisco, CA, USA},
  publisher = {Morgan Kaufmann Publishers Inc.},
  acmid = {657801},
  isbn = {1-55860-707-2},
  numpages = {8},
  owner = {oschulte},
  timestamp = {2018.06.02},
  url = {http://dl.acm.org/citation.cfm?id=645529.657801}
}

@ARTICLE{Ngo1997,
  author = {Liem Ngo and Peter Haddawy},
  title = {Answering Queries from Context-Sensitive Probabilistic Knowledge
	Bases},
  journal = {Theoretical Computer Science},
  year = {1997},
  volume = {171},
  pages = {147-177},
  number = {1-2},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1016/S0304-3975(96)00128-4}
}

@ARTICLE{Nickel2016,
  author = {Nickel, Maximilian and Murphy, Kevin and Tresp, Volker and Gabrilovich,
	Evgeniy},
  title = {A review of relational machine learning for knowledge graphs},
  journal = {Proceedings of the IEEE},
  year = {2016},
  volume = {104},
  pages = {11--33},
  number = {1},
  booktitle = {Proceedings of the I},
  publisher = {IEEE}
}

@ELECTRONIC{Nickel2015,
  author = {{Nickel}, M. and {Murphy}, K. and {Tresp}, V. and {Gabrilovich},
	E.},
  month = mar,
  year = {2015},
  title = {{A Review of Relational Machine Learning for Knowledge Graphs}},
  url = {http://arxiv.org/abs/1503.00759},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System},
  adsurl = {http://adsabs.harvard.edu/abs/2015arXiv150300759N},
  archiveprefix = {arXiv},
  eprint = {1503.00759},
  journal = {ArXiv e-prints},
  keywords = {Statistics - Machine Learning, Computer Science - Learning},
  primaryclass = {stat.ML}
}

@BOOK{Nienhuys-Cheng1997,
  title = {Foundations of Inductive Logic Programming},
  publisher = {SV},
  year = {1997},
  author = {S.H. Nienhuys-Cheng and R. de Wolf },
  volume = {1228},
  series = {LNAI},
  month = {February},
  abstract = {Inductive Logic Programming is a young and rapidly growing field combining
	machine learning and logic programming. This self-contained tutorial
	is the first theoretical introduction to ILP; it provides the reader
	with a rigorous and sufficiently broad basis for future research
	in the area. In the first part, a thorough treatment of first-order
	logic, resolution-based theorem proving, and logic programming is
	given. The second part introduces the main concepts of ILP and systematically
	develops the most important results on model inference, inverse resolution,
	unfolding, refinement operators, least generalizations, and ways
	to deal with background knowledge. Furthermore, the authors give
	an overview of PAC learning results in ILP and of some of the most
	relevant implemented systems. },
  bpages = {404},
  isbn = {3-540-62927-0},
  keywords = {ILP_Theory,Refinement_Operators},
  owner = {hkhosrav},
  pubtype = {1},
  rpages = {17},
  timestamp = {2008.10.08},
  url = {http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-62927-0}
}

@ARTICLE{Nienhuys-Cheng1996,
  author = {Shan-Hwei Nienhuys-Cheng and Ronald de Wolf},
  title = {Least generalizations and greatest specializations of sets of clauses},
  journal = {Journal of Artificial Intelligence Research},
  year = {1996},
  volume = {4},
  pages = {341-363},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Niu2011,
  author = {Feng Niu and Christopher R{\'e} and AnHai Doan and Jude W. Shavlik},
  title = {Tuffy: Scaling up Statistical Inference in Markov Logic Networks
	using an RDBMS},
  journal = {PVLDB},
  year = {2011},
  volume = {4},
  pages = {373-384},
  number = {6},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://www.vldb.org/pvldb/vol4/p373-niu.pdf}
}

@INPROCEEDINGS{Nottelmann2001,
  author = {Henrik Nottelmann and Norbert Fuhr},
  title = {Learning probabilistic Datalog rules for information classification
	and transformation},
  booktitle = {In Proceedings of the Tenth International Conference on Information
	and Knowledge Management (CIKM)},
  year = {2001},
  note = {Available: \url{http://ls6-www.informatik.uni-dortmund.de/ir/publications/2001/Nottelmann_Fuhr:01.html}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = { http://ls6-www.informatik.uni-dortmund.de/ir/publications/2001/Nottelmann_Fuhr:01.html}
}

@ARTICLE{Novak2009,
  author = {Novak, Petra Kralj and Lavra{\v{c}}, Nada and Webb, Geoffrey I},
  title = {Supervised descriptive rule discovery: A unifying survey of contrast
	set, emerging pattern and subgroup mining},
  journal = {The Journal of Machine Learning Research},
  year = {2009},
  volume = {10},
  pages = {377--403},
  publisher = {JMLR. org}
}

@BOOK{Nowak2005,
  title = {Advances in Dynamic Games},
  publisher = {Springer},
  year = {2005},
  author = {Nowak, Andrzej S and Szajowski, Krzysztof},
  owner = {Kurt},
  timestamp = {2014.11.07}
}

@BOOK{nozick81:_philos_explan,
  title = {Philosophical Explanations},
  publisher = {Harvard University Press},
  year = {1981},
  author = {Nozick, R.},
  address = {Cambridge},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{bib:vm,
  title = {Theory of Games and Economic Behavior},
  publisher = {Princeton University Press},
  year = {1944},
  author = {John von {N}eumann and Oskar {M}orgenstern},
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  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{O'Brien2004,
  author = {Cormac O'Brien and Carl Vogel},
  title = {Comparing {SpamAssassin} with {CBDF} Email Filtering},
  booktitle = {Proceedings of the 7th Annual {CLUK} Research Colloquium},
  year = {2004},
  month = {January},
  note = {Available: \url{http://www.cs.tcd.ie/Cormac.OBrien/spamAss.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.cs.tcd.ie/Cormac.OBrien/spamAss.pdf}
}

@INPROCEEDINGS{O???Brien2003,
  author = {Cormac O???Brien and Carl Vogel},
  title = {Spam Filters: {B}ayes Vs. Chi-Squared; Letters Vs. Words},
  booktitle = {Proceedings of the International Symposium on Information and Communication
	Technologies},
  year = {2003},
  month = {September},
  note = {Available: \url{http://www.cs.tcd.ie/publications/tech-reports/reports.03/TCD-CS-2003-13.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = { http://www.cs.tcd.ie/publications/tech-reports/reports.03/TCD-CS-2003-13.pdf}
}

@INPROCEEDINGS{Oda2003,
  author = {T. Oda and T. White},
  title = {Developing an Immunity to Spam},
  booktitle = {Genetic and Evolutionary Computation - GECCO 2003. Genetic and Evolutionary
	Computation Conference, Chicago, IL, USA. Lecture Notes in Computer
	Science, Vol. 2723, Springer},
  year = {2003},
  pages = {231--242},
  note = {Available: \url{http://terri.zone12.com/doc/academic/spam_gecco2003.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://terri.zone12.com/doc/academic/spam_gecco2003.pdf}
}

@INPROCEEDINGS{Oda2003a,
  author = {T. Oda and T. White},
  title = {Increasing the Accuracy of a Spam-Detecting Artificial Immune System},
  booktitle = {Proceedings of the Congress on Evolutionary Computation {(CEC} 2003),
	Canberra, Australia},
  year = {2003},
  pages = {390--396},
  note = {Available: \url{http://terri.zone12.com/doc/academic/spam_cec2003.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://terri.zone12.com/doc/academic/spam_cec2003.pdf}
}

@BOOK{Odifreddi1999,
  title = {Classical Recursion Theory},
  publisher = {North-Holland},
  year = {1999},
  author = {P. Odifreddi},
  month = {October},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@TECHREPORT{OliverSchulte07,
  author = {Oliver Schulte, Flavia Moser, Martin Ester and Zhiyong Lu},
  title = {Defining Association Rules in the Relational Calculus},
  institution = {Simon Fraser University, School of Computing Science},
  year = {2007},
  number = {2007-23},
  owner = {oliverschulte},
  timestamp = {2009.01.19}
}

@INPROCEEDINGS{omidiran2011new,
  author = {Omidiran, Dapo},
  title = {A new look at adjusted plus/minus for basketball analysis},
  booktitle = {MIT Sloan Sports Analytics Conference [online]},
  year = {2011}
}

@BOOK{bib:omnes,
  title = {Introduction to Particle Physics},
  publisher = {Wiley Interscience},
  year = {1971},
  author = {Roland Omnes},
  address = {London, New York},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{bib:rubinstein,
  title = {A Course in Game Theory},
  publisher = {MIT Press},
  year = {1994},
  author = {Martin J. Osborne and Ariel Rubinstein},
  address = {Cambridge, Mass.},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Osherson86,
  title = {Systems that learn},
  publisher = {MIT},
  year = {1986},
  author = {D. Osherson and M. Stob and S. Weinstein},
  isbn = {0-262-15030-1},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Osherson1982,
  author = {D. Osherson and S. Weinstein},
  title = {A note on formal learning theory },
  journal = {Cognition},
  year = {1982},
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  pages = {77-88},
  month = {January},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Osherson1986,
  title = {Systems that learn: an introduction to learning theory for cognitive
	and computer scientists},
  publisher = {MIT Press},
  year = {1986},
  author = {D. N. Osherson and M. Stob and S. Weinstein},
  isbn = {0-262-15030-1},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Pantel1998,
  author = {Patrick Pantel and Dekang Lin},
  title = {{SpamCop}: A Spam Classification and Organization Program},
  booktitle = {Learning for Text Categorization: Papers from the 1998 Workshop},
  year = {1998},
  address = {Madison, Wisconsin},
  publisher = {AAAI Technical Report WS-98-05},
  note = {Available: \url{http://www.cs.ualberta.ca/~ppantel/Download/Papers/aaai98.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.cs.ualberta.ca/~ppantel/Download/Papers/aaai98.pdf}
}

@BOOK{Papadimitriou1994,
  title = {Computational complexity},
  publisher = {Addison-Wesley},
  year = {1994},
  author = {C. H. Papadimitriou},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Parikh2012,
  author = {Ankur P. Parikh and Asela Gunawardana and Christopher Meek},
  title = {Conjoint Modeling of Temporal Dependencies in Event Streams},
  booktitle = {UAI Bayesian Modelling Applications Workshop},
  year = {2012},
  month = {August},
  abstract = {<p>Many real world applications depend on modeling the temporal dynamics
	of streams of diverse events, many of which are rare. We introduce
	a novel model class, Conjoint Piecewise-Constant Conditional Intensity
	Models, and a learning algorithm that together yield a data-driven
	approach to parameter sharing with the aim of better modeling such
	event streams. We empirically demonstrate that our approach yields
	more accurate models of two real world data sets: search query logs
	and data center system logs.</p>},
  file = {:Parikh2012.pdf:PDF},
  owner = {Kurt},
  timestamp = {2014.09.16},
  url = {http://research.microsoft.com/apps/pubs/default.aspx?id=170505}
}

@INCOLLECTION{Patek1998,
  author = {Patek, Stephen D. and Bertsekas, Dimitri P.},
  title = {Play Selection in American Football: A Case Study in Neuro-Dynamic
	Programming},
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	and Heuristic Search},
  publisher = {Springer US},
  year = {1998},
  editor = {Woodruff, David L.},
  volume = {9},
  series = {Operations Research/Computer Science Interfaces Series},
  pages = {189-213},
  doi = {10.1007/978-1-4757-2807-1_7},
  isbn = {978-1-4419-5023-9},
  language = {English},
  owner = {Kurt},
  timestamp = {2014.11.13},
  url = {http://dx.doi.org/10.1007/978-1-4757-2807-1_7}
}

@ARTICLE{Pavlov01beyondindependence,
  author = {Dmitry Pavlov and Heikki Mannila and Padhraic Smyth},
  title = {Beyond Independence: Probabilistic Models for Query Approximation
	on Binary Transaction Data},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  year = {2001},
  volume = {15},
  pages = {1409--1421}
}

@BOOK{Pearl2000,
  title = {Causality: Models, Reasoning, and Inference},
  publisher = {Cambridge university press},
  year = {2000},
  author = {J. Pearl},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Pearl1988,
  title = {Probabilistic Reasoning in Intelligent Systems},
  publisher = {Morgan Kaufmann},
  year = {1988},
  author = {J. Pearl},
  keywords = {digging},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@TECHREPORT{Pei2006,
  author = {Yaling Pei and Osmar Zaiane},
  title = {A synthetic data generator for clustering and outlier analysis},
  year = {2006},
  file = {:local-scratch/SRiahi/texmf/Pei2006.pdf:PDF}
}

@INCOLLECTION{peirce78:_how_to_make_our_ideas_clear,
  author = {Peirce, C.S.},
  title = {How To Make Our Ideas Clear},
  booktitle = {The Essential Peirce},
  publisher = {Indiana University Press},
  year = {1878/1992},
  editor = {N. Houser and C. Kloesel},
  volume = {1},
  pages = {124-141},
  address = {Bloomington},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Perea2011,
  author = {Andres Perea},
  title = {An algorithm for proper rationalizability},
  journal = {Games and Economic Behavior},
  year = {2011},
  volume = {72},
  pages = {510 - 525},
  number = {2},
  doi = {https://doi.org/10.1016/j.geb.2010.10.008},
  issn = {0899-8256},
  keywords = {Epistemic game theory, Proper rationalizability, Algorithms},
  url = {http://www.sciencedirect.com/science/article/pii/S0899825610001715}
}

@ARTICLE{Perera2018,
  author = {Perera, H. and Davis, J. and Swartz, T.B.},
  title = {Assessing the impact of fielding in Twenty20 cricket},
  journal = {Journal of the Operational Research Society},
  year = {2018},
  pages = {to appear},
  owner = {oschulte},
  timestamp = {2018.05.31}
}

@INPROCEEDINGS{Perlich2003,
  author = {Perlich, Claudia and Provost, Foster},
  title = {Aggregation-based Feature Invention and Relational Concept Classes},
  booktitle = {ACM SIGKDD},
  year = {2003},
  series = {KDD '03},
  pages = {167--176},
  publisher = {ACM},
  comment = {Address: New York, NY, USA; Url: http://doi.acm.org/10.1145/956750.956772},
  doi = {10.1145/956750.956772},
  file = {:Perlich2003.pdf:PDF},
  keywords = {aggregation, constructive induction, feature construction, propositionalization,
	relational learning},
  location = {Washington, D.C.},
  owner = {Kurt},
  timestamp = {2014.09.08}
}

@INPROCEEDINGS{Pettigrew2015,
  author = {Pettigrew, Stephen},
  title = {Assessing the offensive productivity of NHL players using in-game
	win probabilities},
  booktitle = {9th Annual MIT Sloan Sports Analytics Conference},
  year = {2015},
  file = {Pettigrew2015.pdf:Pettigrew2015.pdf:PDF},
  owner = {Kurt},
  timestamp = {2015.03.05}
}

@ARTICLE{Pettigrew2014,
  author = {Pettigrew, Stephen},
  title = {How the West will be won: using Monte Carlo simulations to estimate
	the effects of NHL realignment},
  journal = {Journal of Quantitative Analysis in Sports},
  year = {2014},
  volume = {10},
  pages = {345--355},
  number = {3},
  owner = {Kurt},
  timestamp = {2015.03.05}
}

@TECHREPORT{CaitlinPhillips06,
  author = {Caitlin Phillips},
  title = {{Knowledge Transfer in {Markov} Decision Processes}},
  institution = {McGill University},
  year = {2006},
  owner = {oschulte},
  timestamp = {2018.06.02}
}

@INPROCEEDINGS{Pihlaja2010,
  author = {Miika Pihlaja and Michael Gutmann and Aapo Hyvrinen},
  title = {A Family of Computationally Efficient and Simple Estimators for Unnormalized
	Statistical Models},
  booktitle = {Uncertainty in Artificial Intelligence (UAI)},
  year = {2010},
  file = {Pihlaja2010.pdf:Pihlaja2010.pdf:PDF},
  keywords = {{B}ayes Nets, statistical-relational},
  owner = {oliverschulte},
  timestamp = {2010.07.24}
}

@ARTICLE{Pinker1979,
  author = {S. Pinker},
  title = {Formal models of language learning},
  journal = {Cognition},
  year = {1979},
  volume = {7},
  pages = {217-283},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INCOLLECTION{Plotkin1971,
  author = {Plotkin, G.D.},
  title = {A further note on inductive generalization},
  booktitle = {Machine Intelligence},
  publisher = {Edinburgh University Press},
  year = {1971},
  volume = {6},
  pages = {101-124},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INCOLLECTION{Plotkin1970,
  author = {Plotkin, G.D.},
  title = {A note on inductive generalization},
  booktitle = {Machine Intelligence},
  publisher = {Edinburgh University Press},
  year = {1970},
  volume = {5},
  pages = {153-163},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Poole2003,
  author = {David Poole},
  title = {First-order probabilistic inference},
  booktitle = {IJCAI},
  year = {2003},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  comment = {Pages: 985-991},
  file = {Poole2003.pdf:Poole2003.pdf:PDF},
  keywords = {{B}ayes Nets, statistical-relational}
}

@ARTICLE{bib:poole-sitcal,
  author = {David Poole},
  title = {Decision Theory, the Situation Calculus, and Conditional Plans},
  journal = {Link{\"{o}}ping Electronic Articles in Computer and Information Science},
  year = {1998},
  volume = {3},
  number = {8},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Poole2013,
  author = {David Poole and Mark Crowley},
  title = {Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium
	Semantics and Sample Ordering},
  booktitle = {IJCAI},
  year = {2013},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6667}
}

@INPROCEEDINGS{Poon2006,
  author = {Hoifung Poon and Pedro Domingos},
  title = {Sound and Efficient Inference with Probabilistic and Deterministic
	Dependencies},
  booktitle = {AAAI},
  year = {2006},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

@BOOK{Popper1980,
  title = {The Logic of Scientific Discovery},
  publisher = {Unwin Hyman Ltd},
  year = {1980},
  author = {Karl R. Popper},
  address = {London},
  edition = {Tenth impression (revised)},
  note = {First edition published 1959 by Hutchinson Education. Translation
	of {\em Logik der Forschung}, published in Vienna in the autumn of
	1934},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Popper1979,
  title = {Objective Knowledge. An evolutionary approach.},
  publisher = {Clarendon Press},
  year = {1979},
  author = {Karl R. Popper},
  address = {Oxford},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Praed2003,
  author = {Jon Praed},
  title = {A Spam Litigator's View from the Front Lines},
  booktitle = {Proceedings of the Spam Conference},
  year = {2003},
  note = {Available: \url{http://spamconference.org/praed.pdf}},
  keywords = {OTHER},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://spamconference.org/praed.pdf}
}

@BOOK{Pregibon,
  title = {private communication},
  year = {1989, 1992},
  author = {Daryl Pregibon}
}

@ARTICLE{Provost2003,
  author = {Foster J. Provost and Pedro Domingos},
  title = {Tree Induction for Probability-Based Ranking},
  journal = {Machine Learning},
  year = {2003},
  volume = {52},
  pages = {199-215},
  number = {3},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1023/A:1024099825458},
  file = {Provost2003.pdf:Provost2003.pdf:PDF}
}

@TECHREPORT{Provost1999,
  author = {Jefferson Provost},
  title = {Naive-{B}ayes vs. Rule-Learning in Classification of Email},
  institution = {Dept. of Computer Sciences at the U. of Texas at Austin},
  year = {1999},
  note = {Available: \url{http://www.cs.utexas.edu/users/jp/research/email.paper.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.cs.utexas.edu/users/jp/research/email.paper.pdf}
}

@INCOLLECTION{bib:putcar,
  author = {Hilary Putnam},
  title = {'Degree of Confirmation' and Inductive Logic},
  booktitle = {The Philosophy of Rudolf Carnap},
  publisher = {Open Court},
  year = {1963},
  editor = {A. Schilpp},
  address = {La Salle, Ill.},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INCOLLECTION{bib:put-papers,
  author = {Hilary Putnam},
  title = {Probability and Confirmation},
  booktitle = {Mathematics, Matter and Method, Philosophical Papers},
  publisher = {Cambridge University Press},
  year = {1975},
  volume = {1},
  address = {London},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{bib:put-mc,
  author = {Hilary Putnam},
  title = {Trial and Error Predicates and a Solution to a Problem of Mostowksi},
  journal = {Journal of Symbolic Logic},
  year = {1965},
  volume = {30},
  pages = {49-57},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Putnam1965,
  author = {H. Putnam},
  title = {Trial and Error Predicates and the Solution to a Problem of Mostowski},
  journal = {The Journal of Symbolic Logic},
  year = {1965},
  volume = {30},
  pages = {49-57},
  number = {1},
  month = {March},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Qian_LNAI_2014,
  author = {Zhensong Qian and Oliver Schulte},
  title = {Learning Bayes Nets for Relational Data with Link Uncertainty},
  booktitle = {GKR},
  year = {2014},
  editor = {M. Croitoru et al.},
  volume = {8323},
  series = {Lecture Notes in Artificial Intelligence},
  pages = {123-137},
  publisher = {Springer},
  owner = {zqian},
  timestamp = {2013.11.21}
}

@INPROCEEDINGS{Qian2015,
  author = {Zhensong Qian and Oliver Schulte},
  title = {FactorBase: Multi-Relational Model Learning with SQL All The Way.},
  booktitle = {Data Science and Advanced Analytics (DSAA)},
  year = {2015},
  pages = {1--10},
  owner = {oschulte},
  timestamp = {2015.10.06}
}

@CONFERENCE{Qian2015a,
  author = {Zhensong Qian and Oliver Schulte},
  title = {{FACTORBASE} : SQL for Multi-Relational Model Learning},
  booktitle = {NIPS Workshop on Machine Learning Systems},
  year = {2015},
  owner = {zqian},
  timestamp = {2015.11.17}
}

@INPROCEEDINGS{Qian2015b,
  author = {Zhensong Qian and Oliver Schulte},
  title = {FACTORBASE: SQL for Multi-Relational Model Learning},
  booktitle = {LearningSys: Workshop on Machine Learning Systems (at NIPS)},
  year = {2015},
  owner = {oschulte},
  timestamp = {2015.12.14}
}

@ARTICLE{Qian2014,
  author = {Zhensong Qian and Oliver Schulte and Yan Sun},
  title = {Computing Multi-Relational Sufficient Statistics for Large Databases},
  journal = {CoRR},
  year = {2014},
  volume = {abs/1408.5389},
  owner = {zqian},
  timestamp = {2014.08.22},
  url = {http://arxiv.org/abs/1408.5389}
}

@INPROCEEDINGS{Qian2014a,
  author = {Zhensong Qian and Oliver Schulte and Yan Sun},

license_type: permissive

branch_name: refs/heads/master

extension: bib