text:
% This file was created with JabRef 2.7.
% Encoding: ISO8859_2

@INCOLLECTION{Braz2007,
  author = {Rodrigo {de Salvo Braz} and Eyal Amir and Dan Roth},
  title = {Lifted First-Order Probabilistic Inference},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  chapter = {15},
  pages = {433--452},
  crossref = {SRL2007},
  keywords = {statistical-relational},
  owner = {hkhosrav},
  timestamp = {2008.10.10}
}

@INPROCEEDINGS{Angiulli2009,
  author = {Angiulli, Fabrizio and Fassetti, Fabio},
  title = {Outlier Detection Using Inductive Logic Programming.},
  booktitle = {ICDM},
  year = {2009},
  editor = {0010, Wei Wang and Kargupta, Hillol and Ranka, Sanjay and Yu, Philip
	S. and Wu, Xindong},
  pages = {693-698},
  publisher = {IEEE Computer Society},
  added-at = {2010-01-27T00:00:00.000+0100},
  biburl = {http://www.bibsonomy.org/bibtex/2c917f4a0a0605e5fa762aa9a6f2ef6b8/dblp},
  crossref = {conf/icdm/2009},
  ee = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2009.127},
  interhash = {fc6d16a86a92022c960a124e37ce4eaa},
  intrahash = {c917f4a0a0605e5fa762aa9a6f2ef6b8},
  isbn = {978-0-7695-3895-2},
  keywords = {dblp},
  timestamp = {2011-04-29T15:33:58.000+0200},
  url = {http://dblp.uni-trier.de/db/conf/icdm/icdm2009.html#AngiulliF09}
}

@INPROCEEDINGS{Bard2015,
  author = {Nolan Bard and Deon Nicholas and Csaba Szepesv{\'{a}}ri and Michael
	H. Bowling},
  title = {Decision-theoretic Clustering of Strategies},
  booktitle = {International Conference on Autonomous Agents and Multiagent Systems,
	{AAMAS}},
  year = {2015},
  pages = {17--25},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/bib/conf/atal/BardNSB15},
  crossref = {DBLP:conf/atal/2015},
  owner = {oschulte},
  timestamp = {Sat, 16 May 2015 12:23:39 +0200},
  url = {http://dl.acm.org/citation.cfm?id=2772886}
}

@INPROCEEDINGS{DBLP:conf/ai/BartDS01,
  author = {Bradley Bart and James P. Delgrande and Oliver Schulte},
  title = {Knowledge and Planning in an Action-Based Multi-agent Framework:
	A Case Study},
  booktitle = {Canadian Conference on AI},
  year = {2001},
  pages = {121-130},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/ai/2001},
  ee = {http://link.springer.de/link/service/series/0558/bibs/2056/20560121.htm},
  keywords = {oliver}
}

@INPROCEEDINGS{Berenbrink07,
  author = {Petra Berenbrink and Oliver Schulte},
  title = {Evolutionary Equilibrium in {B}ayesian Routing Games: Specialization
	and Niche Formation},
  booktitle = {European Symposium on Algorithms (ESA)},
  year = {2007},
  pages = {29-40},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/esa/2007},
  ee = {http://dx.doi.org/10.1007/978-3-540-75520-3_5},
  file = {Berenbrink07.pdf:Berenbrink07.pdf:PDF}
}

@INPROCEEDINGS{Biba2008,
  author = {Marenglen Biba and Stefano Ferilli and Floriana Esposito},
  title = {Structure Learning of {Markov} Logic Networks through Iterated Local
	Search},
  booktitle = {ECAI},
  year = {2008},
  pages = {361-365},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/ecai/2008},
  ee = {http://dx.doi.org/10.3233/978-1-58603-891-5-361}
}

@INCOLLECTION{Cooper,
  author = {G. Cooper},
  title = {An overview of the Representation and Discovery of Causal Relationships
	Using {B}ayesian Networks},
  booktitle = {Computation, Causation, and Discovery},
  pages = {4-62},
  crossref = {glymour99:_comput_causat_discov},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INCOLLECTION{Cussen2007,
  author = {James Cussens},
  title = {Logic-based Formalisms for Statistical Relational Learning},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  crossref = {SRL2007},
  owner = {hkhosrav},
  timestamp = {2008.10.10}
}

@INCOLLECTION{Cussens2007,
  author = {James Cussens},
  title = {Logic-Based Formalisms for Statistical Relational Learning},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  chapter = {10},
  pages = {291-318},
  crossref = {SRL2007},
  keywords = {statistical-relational},
  owner = {hkhosrav},
  timestamp = {2008.10.10}
}

@INPROCEEDINGS{Raedt1998,
  author = {Luc {De Raedt}},
  title = {Attribute-Value Learning Versus Inductive Logic Programming: The
	Missing Links (Extended Abstract)},
  booktitle = {ILP},
  year = {1998},
  pages = {1-8},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/ilp/1998},
  file = {Raedt1998.pdf:Raedt1998.pdf:PDF},
  keywords = {ilp, statistical-relational}
}

@INCOLLECTION{Domingos2007,
  author = {Pedro Domingos and Matthew Richardson},
  title = {Markov Logic: A Unifying Framework for Statistical Relational Learning},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  crossref = {SRL2007},
  file = {Domingos07.pdf:Domingos07.pdf:PDF},
  keywords = {digging, statistical-relational},
  owner = {hkhosrav},
  timestamp = {2008.10.10}
}

@INPROCEEDINGS{Domke2008,
  author = {Justin Domke and Alap Karapurkar and Yiannis Aloimonos},
  title = {Who killed the directed model?},
  booktitle = {CVPR},
  year = {2008},
  pages = {1-8},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/cvpr/2008},
  ee = {http://dx.doi.org/10.1109/CVPR.2008.4587817},
  file = {Domke2008.pdf:Domke2008.pdf:PDF},
  keywords = {{B}ayes Nets}
}

@INCOLLECTION{bib:ilp-survey,
  author = {Saso Dzeroski},
  title = {Inductive Logic Programming in a Nutshell},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  crossref = {SRL2007},
  owner = {oliverschulte},
  timestamp = {2008.10.29}
}

@INPROCEEDINGS{Feng_SIGMOD_2012,
  author = {Xixuan Feng and Arun Kumar and Benjamin Recht and Christopher R{\'e}},
  title = {Towards a unified architecture for in-RDBMS analytics},
  booktitle = {SIGMOD Conference},
  year = {2012},
  pages = {325-336},
  crossref = {DBLP:conf/sigmod/2012},
  ee = {http://doi.acm.org/10.1145/2213836.2213874},
  owner = {zqian},
  review = {single unified architecture, in-database analytics consider data analytics
	techniques that are modeled as convex programming problems},
  timestamp = {2013.11.25}
}

@INPROCEEDINGS{Frank2009,
  author = {Richard Frank and Martin Ester and Arno Knobbe},
  title = {A multi-relational approach to spatial classification},
  booktitle = {KDD},
  year = {2009},
  pages = {309-318},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/kdd/2009},
  ee = {http://doi.acm.org/10.1145/1557019.1557058},
  keywords = {ilp, digging}
}

@INPROCEEDINGS{DBLP:conf/kdd/GaoESCX07,
  author = {Byron J. Gao and Martin Ester and {Jin-yi} Cai and Oliver Schulte
	and Hui Xiong},
  title = {The minimum consistent subset cover problem and its applications
	in data mining},
  booktitle = {ACM Knowledge Discovery and Data Mining (KDD)},
  year = {2007},
  pages = {310-319},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/kdd/2007},
  ee = {http://doi.acm.org/10.1145/1281192.1281228}
}

@INCOLLECTION{Getoor2007c,
  author = {Getoor, Lise and Friedman, Nir and Koller, Daphne and Pfeffer, Avi
	and Taskar, Benjamin},
  title = {Probabilistic Relational Models},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  chapter = {5},
  pages = {129-173},
  crossref = {SRL2007},
  owner = {hkhosrav},
  timestamp = {2008.10.10}
}

@INPROCEEDINGS{LiseGetoor2001,
  author = {Lise Getoor and E. Segal and Benjamin Taskar and Daphne Koller},
  title = {Probabilistic models of text and link structure for hypertext classification},
  booktitle = {IJCAI01 Workshop on Text Learning: Beyond Supervision},
  year = {2001},
  crossref = {bib:text-learn},
  file = {LiseGetoor2001.pdf:LiseGetoor2001.pdf:PDF},
  keywords = {statistical-relational},
  owner = {oschulte},
  timestamp = {2009.10.22}
}

@INCOLLECTION{getoor-intro,
  author = {Lise Getoor and Ben Taskar},
  title = {Introduction},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  editor = {L. Getoor and B. Taskar},
  pages = {1--8},
  crossref = {SRL2007},
  keywords = {digging, statistical-relational},
  owner = {hkhosrav},
  timestamp = {2008.10.10}
}

@INPROCEEDINGS{Graefe1998a,
  author = {Goetz Graefe and Usama M. Fayyad and Surajit Chaudhuri},
  title = {On the Efficient Gathering of Sufficient Statistics for Classification
	from Large SQL Databases},
  booktitle = {KDD},
  year = {1998},
  pages = {204-208},
  crossref = {DBLP:conf/kdd/1998},
  ee = {http://www.aaai.org/Library/KDD/1998/kdd98-034.php},
  owner = {zqian},
  timestamp = {2014.02.26}
}

@INCOLLECTION{Heckerman+al:SRL07,
  author = {D. Heckerman and C. Meek and D. Koller},
  title = {Probabilistic Entity-Relationship Models, {PRMs}, and Plate Models},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  editor = {L. Getoor and B. Taskar},
  crossref = {SRL2007},
  owner = {hkhosrav},
  timestamp = {2008.10.10}
}

@INPROCEEDINGS{Ibrahim2016,
  author = {Mostafa S. Ibrahim and Srikanth Muralidharan and Zhiwei Deng and
	Arash Vahdat and Greg Mori},
  title = {A Hierarchical Deep Temporal Model for Group Activity Recognition},
  booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR}},
  year = {2016},
  pages = {1971--1980},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/bib/conf/cvpr/IbrahimMDVM16},
  crossref = {DBLP:conf/cvpr/2016},
  doi = {10.1109/CVPR.2016.217},
  owner = {oschulte},
  timestamp = {Thu, 25 May 2017 00:41:26 +0200},
  url = {https://doi.org/10.1109/CVPR.2016.217}
}

@MISC{Jarvandi2014,
  author = {Jarvandi,Ali},
  title = {Modeling Team-Compatibility Factors Using a Semi-Markov Decision
	Process: A Framework for Performance Analysis in Soccer},
  year = {2014},
  note = {Copyright - Copyright ProQuest, UMI Dissertations Publishing 2014;
	Last updated - 2014-02-24; First page - n/a},
  abstract = {Soccer is the most popular sport worldwide. Over time, the importance
	of soccer has grown beyond the sports domain, making it a large industry,
	a source of national pride, and the center of public attention in
	most countries. Due to this increased significance, it is highly
	important for soccer teams at both the club and national levels to
	invest in sciences providing a competitive edge over opponents. Quantitative
	analysis of soccer is one of the domains that have enjoyed a sharp
	growth in the recent years. Using the advanced data collection and
	analysis tools, it has become possible to implement more sophisticated
	performance analysis methodologies. In this study, a model has been
	developed to anticipate the collective team performance based on
	the attributes of the individual players. The model is then used
	to predict how the hiring of new players affects team performance.
	The data used for this study has been collected from the English
	Premier League between the 2008/09 and 2011/2012 seasons. Using the
	model, team performance can be predicted with an average error of
	7.857 units of goal differential. Also, the effect of a new player
	on team performance can be predicted with an average error of 18.912
	units of goal differential. Using a classification strategy, the
	model was able to correctly predict the direction of change in team
	performance caused by a new player 85.6% of the time. This provides
	a minimum of 20% increase in accuracy compared to the current transfer
	success rate at the highest level of club soccer. Therefore, using
	this model is expected to save clubs large amounts of money while
	enhancing performance.},
  crossref = {@article{Hauskrecht:2000:VAP:1622262.1622264, author = {Hauskrecht,
	Milos}, title = {Value-function Approximations for Partially Observable
	Markov Decision Processes}, journal = {J. Artif. Int. Res.}, issue_date
	= {August 2000}, volume = {13}, number = {1}, month = aug, year =
	{2000}, issn = {1076-9757}, pages = {33--94}, numpages = {62}, url
	= {http://dl.acm.org/citation.cfm?id=1622262.1622264}, acmid = {1622264},
	publisher = {AI Access Foundation}, address = {USA}, }@article{dobson2010optimizing,
	title={Optimizing strategic behaviour in a dynamic setting in professional
	team sports}, author={Dobson, Stephen and Goddard, John}, journal={European
	Journal of Operational Research}, volume={205}, number={3}, pages={661--669},
	year={2010}, publisher={Elsevier} }},
  file = {:Jarvandi2014.pdf:PDF},
  isbn = {9781303628979},
  journal = {ProQuest Dissertations and Theses},
  keywords = {Social sciences; Applied sciences; Data; Markov; Modeling; Simulation;
	Soccer; Sports; Sports Management; Systems science; Operations research;
	0430:Sports Management; 0796:Operations research; 0790:Systems science},
  language = {English},
  owner = {Kurt},
  pages = {109},
  timestamp = {2014.11.07},
  url = {http://search.proquest.com.proxy.lib.sfu.ca/docview/1491849406?accountid=13800}
}

@ARTICLE{Kelly95,
  author = {K. Kelly and O. Schulte},
  title = {The computable testability of theories with uncomputable predictions},
  journal = {Erkenntnis},
  year = {1995},
  volume = {43},
  pages = {29-66},
  note = {This paper was reviewed in the {\em Journal of Symbolic Logic}, 61:3,
	p.1049.},
  crossref = {Works96},
  file = {Kelly1995.pdf:/Kelly1995.pdf:PDF},
  owner = {hkhosrav},
  review = {Results from Master's Thesis. This paper was reviewed by Works, see
	Works 96.},
  timestamp = {2008.10.08}
}

@INCOLLECTION{Kersting2007,
  author = {Kristian Kersting and Luc {De Raedt}},
  title = {{B}ayesian Logic Programming: Theory and Tool},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  chapter = {10},
  pages = {291-318},
  crossref = {SRL2007},
  file = {:D\:\\Hassan\\Subversion related\\references\\srl05chapter-kristian kersting.pdf:PDF},
  keywords = {statistical-relational},
  owner = {hkhosrav},
  timestamp = {2008.10.10}
}

@INPROCEEDINGS{Kok2005a,
  author = {Stanley Kok and Pedro Domingos},
  title = {Learning the structure of {Markov} logic networks},
  booktitle = {ICML},
  year = {2005},
  pages = {441-448},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/icml/2005},
  ee = {http://doi.acm.org/10.1145/1102351.1102407}
}

@INPROCEEDINGS{Koller1997,
  author = {Daphne Koller and Avi Pfeffer},
  title = {Object-Oriented {B}ayesian Networks},
  booktitle = {UAI},
  year = {1997},
  pages = {302-313},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/uai/1997},
  ee = {http://rome.exp.sis.pitt.edu/UAI/Abstract.asp?articleID=324{\&}proceedingID=13},
  file = {Koller1997.pdf:Koller1997.pdf:PDF},
  keywords = {{B}ayes Nets, statistical-relational},
  owner = {oschulte},
  review = {introduces object-oriented bayes nets, which were mentioned by Chris
	Meek and cited by David Poole as similar to BLNs/parametrized belief
	nets.},
  timestamp = {2009.08.19}
}

@INPROCEEDINGS{Kranjc2012,
  author = {Kranjc, Janez and Podpecan, Vid and Lavrac, Nada},
  title = {ClowdFlows: A Cloud Based Scientific Workflow Platform.},
  booktitle = {ECML/PKDD},
  year = {2012},
  series = {Lecture Notes in CS},
  publisher = {Springer},
  crossref = {conf/pkdd/2012},
  keywords = {dblp},
  owner = {oschulte},
  timestamp = {2015.10.26}
}

@INPROCEEDINGS{Lacerda2008,
  author = {Gustavo Lacerda and Peter Spirtes and Joseph Ramsey and Patrik O.
	Hoyer},
  title = {Discovering Cyclic Causal Models by Independent Components Analysis},
  booktitle = {UAI},
  year = {2008},
  pages = {366-374},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/uai/2008},
  ee = {http://uai2008.cs.helsinki.fi/UAI_camera_ready/lacerda.pdf}
}

@INPROCEEDINGS{Lopes2009,
  author = {Carina Lopes and Gerson Zaverucha},
  title = {{HTILDE:} scaling up relational decision trees for very large databases},
  booktitle = {Proceedings of the 2009 {ACM} Symposium on Applied Computing (SAC),
	Honolulu, Hawaii, USA, March 9-12, 2009},
  year = {2009},
  pages = {1475--1479},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl = {http://dblp.uni-trier.de/rec/bib/conf/sac/LopesZ09},
  crossref = {DBLP:conf/sac/2009},
  doi = {10.1145/1529282.1529610},
  owner = {zqian},
  timestamp = {Fri, 17 Apr 2009 14:37:38 +0200},
  url = {http://doi.acm.org/10.1145/1529282.1529610}
}

@INPROCEEDINGS{Luo05,
  author = {Wei Luo and Oliver Schulte},
  title = {Mind Change Efficient Learning},
  booktitle = {Conference on Learning Theory (COLT)},
  year = {2005},
  pages = {398-412},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/colt/2005},
  ee = {http://dx.doi.org/10.1007/11503415_27}
}

@PROCEEDINGS{Mihalkova2007a,
  title = {Mapping and Revising Markov Logic Networks for Transfer Learning},
  year = {2007},
  author = {Lilyana Mihalkova and Tuyen N. Huynh and Raymond J. Mooney},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {AAAI},
  crossref = {DBLP:conf/aaai/2007},
  pages = {608-614}
}

@INPROCEEDINGS{Milch2005,
  author = {Brian Milch and Bhaskara Marthi and Stuart J. Russell and David Sontag
	and Daniel L. Ong and Andrey Kolobov},
  title = {{BLOG:} Probabilistic Models with Unknown Objects},
  booktitle = {IJCAI-05},
  year = {2005},
  pages = {1352--1359},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl = {http://dblp.uni-trier.de/rec/bib/conf/ijcai/MilchMRSOK05},
  crossref = {DBLP:conf/ijcai/2005},
  timestamp = {Wed, 05 Nov 2014 02:07:24 +0100},
  url = {http://www.ijcai.org/papers/1546.pdf}
}

@INPROCEEDINGS{Natarajan2009,
  author = {Sriraam Natarajan and Prasad Tadepalli and Gautam Kunapuli and Jude
	W. Shavlik},
  title = {Learning Parameters for Relational Probabilistic Models with Noisy-Or
	Combining Rule},
  booktitle = {ICMLA},
  year = {2009},
  pages = {141-146},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/icmla/2009},
  ee = {http://doi.ieeecomputersociety.org/10.1109/ICMLA.2009.134},
  keywords = {statistical-relational}
}

@INCOLLECTION{bib:jensen-chapter,
  author = {Jennifer Neville and David Jensen},
  title = {Relational Dependency Networks},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  chapter = {8},
  pages = {239-268},
  crossref = {SRL2007},
  owner = {oschulte},
  timestamp = {2008.11.24}
}

@INPROCEEDINGS{Pfeffer1999,
  author = {Avi Pfeffer and Daphne Koller and Brian Milch and Ken T. Takusagawa},
  title = {SPOOK: A system for probabilistic object-oriented knowledge representation},
  booktitle = {UAI},
  year = {1999},
  pages = {541-550},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/uai/1999},
  ee = {http://rome.exp.sis.pitt.edu/UAI/Abstract.asp?articleID=207{\&}proceedingID=15},
  file = {Pfeffer1999.pdf:Pfeffer1999.pdf:PDF},
  keywords = {{B}ayes Nets, statistical-relational},
  owner = {oschulte},
  review = {cited by Poole. May have solution to cycles by modelling multiset
	as single complex attribute.},
  timestamp = {2009.08.19}
}

@INPROCEEDINGS{Poole2008,
  author = {David Poole},
  title = {The Independent Choice Logic and Beyond},
  booktitle = {Probabilistic Inductive Logic Programming},
  year = {2008},
  pages = {222-243},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/ilp/2008p},
  ee = {http://dx.doi.org/10.1007/978-3-540-78652-8_8},
  keywords = {statistical-relational}
}

@INCOLLECTION{Popescul2007,
  author = {Alexandrin Popescul and Lyle Ungar},
  title = {Feature Generation and Selection in Multi-Relational Learning},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  chapter = {16},
  pages = {453-476},
  comment = {Chapter: 16, Pages: 453-476},
  crossref = {SRL2007},
  keywords = {statistical-relational},
  owner = {oschulte},
  timestamp = {2008.11.24}
}

@INPROCEEDINGS{Rettinger2008,
  author = {Achim Rettinger and Matthias Nickles and Volker Tresp},
  title = {A statistical relational model for trust learning},
  booktitle = {AAMAS (2)},
  year = {2008},
  pages = {763-770},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/atal/2008-2},
  ee = {http://doi.acm.org/10.1145/1402298.1402330},
  file = {Rettinger2008.pdf:Rettinger2008.pdf:PDF},
  keywords = {statistical-relational, trust},
  owner = {oschulte},
  timestamp = {2009.01.07}
}

@INPROCEEDINGS{Riahi2016,
  author = {Fatemeh Riahi and Oliver Schulte},
  title = {Propositionalization for Unsupervised Outlier Detection in Multi-Relational
	Data},
  booktitle = {Proceedings of the Twenty-Ninth International Florida Artificial
	Intelligence Research Society Conference, {FLAIRS}},
  year = {2016},
  pages = {448--453},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl = {http://dblp.uni-trier.de/rec/bib/conf/flairs/RiahiS16},
  crossref = {DBLP:conf/flairs/2016},
  file = {Riahi2016.pdf:Riahi2016.pdf:PDF},
  keywords = {statistical-relational},
  timestamp = {Fri, 22 Apr 2016 11:25:09 +0200},
  url = {http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS16/paper/view/12786}
}

@INPROCEEDINGS{Richardson1996,
  author = {Thomas Richardson},
  title = {A Discovery Algorithm for Directed Cyclic Graphs},
  booktitle = {UAI},
  year = {1996},
  pages = {454-461},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/uai/1996},
  ee = {http://rome.exp.sis.pitt.edu/UAI/Abstract.asp?articleID=399{\&}proceedingID=12}
}

@INPROCEEDINGS{Salakhutdinov08,
  author = {Ruslan Salakhutdinov and Andriy Mnih},
  title = {{B}ayesian probabilistic matrix factorization using Markov chain
	Monte Carlo},
  booktitle = {ICML},
  year = {2008},
  pages = {880-887},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/icml/2008},
  ee = {http://doi.acm.org/10.1145/1390156.1390267},
  file = {Salakhutdinov08.pdf:/Salakhutdinov08.pdf:PDF;Salakhutdinov08.pdf:/Salakhutdinov08.pdf:PDF},
  keywords = {statistical-relational, recommender, matrix factorization},
  review = {Seems to have no co-variates of users or movies, unlike the statistical-relational
	model paper}
}

@INPROCEEDINGS{DBLP:conf/sdm/SankaranarayananSL14,
  author = {Vignesh Veppur Sankaranarayanan and Junaed Sattar and Laks V. S.
	Lakshmanan},
  title = {Auto-play: {A} Data Mining Approach to {ODI} Cricket Simulation and
	Prediction},
  booktitle = {Proceedings of the 2014 {SIAM} International Conference on Data Mining,
	Philadelphia, Pennsylvania, USA, April 24-26, 2014},
  year = {2014},
  pages = {1064--1072},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/bib/conf/sdm/SankaranarayananSL14},
  crossref = {DBLP:conf/sdm/2014},
  doi = {10.1137/1.9781611973440.121},
  owner = {oschulte},
  timestamp = {Wed, 16 Aug 2017 06:46:44 +0200},
  url = {https://doi.org/10.1137/1.9781611973440.121}
}

@INPROCEEDINGS{Schmidt2008,
  author = {Mark Schmidt and Kevin Murphy and Glenn Fung and R{\'o}mer Rosales},
  title = {Structure learning in random fields for heart motion abnormality
	detection},
  booktitle = {CVPR},
  year = {2008},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/cvpr/2008},
  ee = {http://dx.doi.org/10.1109/CVPR.2008.4587367}
}

@INPROCEEDINGS{Schulte03,
  author = {Oliver Schulte},
  title = {Iterated backward inference: an algorithm for proper rationalizability},
  booktitle = {Theoretical Aspects of Rationality and Knowledge (TARK)},
  year = {2003},
  pages = {15-28},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/tark/2003},
  ee = {http://doi.acm.org/10.1145/846241.846244},
  file = {Schulte03.pdf:Schulte03.pdf:PDF;Schulte03a.pdf:Schulte03a.pdf:PDF},
  keywords = {oliver}
}

@INPROCEEDINGS{DBLP:conf/ausai/Schulte99,
  author = {Oliver Schulte},
  title = {Minimal Belief Change and {P}areto-Optimality},
  booktitle = {Australian Joint Conference on Artificial Intelligence},
  year = {1999},
  pages = {144-155},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/ausai/1999},
  keywords = {oliver}
}

@INPROCEEDINGS{Schulte2010a,
  author = {Oliver Schulte and Gustavo Frigo and Russell Greiner and Hassan Khosravi},
  title = {The {IMAP} Hybrid Method for Learning Gaussian Bayes Nets},
  booktitle = {Canadian Conference on AI},
  year = {2010},
  pages = {123-134},
  note = {Acceptance Rate 35\%.},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/ai/2010},
  ee = {http://dx.doi.org/10.1007/978-3-642-13059-5_14},
  keywords = {{B}ayes Nets}
}

@INPROCEEDINGS{Schulte07a,
  author = {Oliver Schulte and Wei Luo and Russell Greiner},
  title = {Mind Change Optimal Learning of {B}ayes Net Structure},
  booktitle = {Conference on Learning Theory (COLT)},
  year = {2007},
  pages = {187-202},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/colt/2007},
  ee = {http://dx.doi.org/10.1007/978-3-540-72927-3_15}
}

@INCOLLECTION{Spirtes,
  author = {P. Spirtes and C. Meek and T. Richardson},
  title = {An Algorithm for Causal Inference in the Presence of Latent Variables
	and Selection Bias},
  pages = {211-252},
  crossref = {glymour99:_comput_causat_discov},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Stracuzzi08,
  author = {David J. Stracuzzi and Tolga K{\"o}nik},
  title = {A Statistical Approach to Incremental Induction of First-Order Hierarchical
	Knowledge Bases},
  booktitle = {ILP},
  year = {2008},
  pages = {279-296},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/ilp/2008},
  ee = {http://dx.doi.org/10.1007/978-3-540-85928-4_22},
  file = {Stracuzzi08.pdf:Stracuzzi08.pdf:PDF},
  keywords = {ilp, statistical-relational},
  review = {is this the paper criticizing MLNs? Discusses learning rules and inferring
	concepts.}
}

@INCOLLECTION{Sutton2007,
  author = {Charles Sutton and Andrew McCallum},
  title = {An Introduction to Conditional Random Fields For Relational Learning},
  booktitle = {Introduction to Statistical Relational Learning},
  publisher = {MIT Press},
  year = {2007},
  chapter = {4},
  pages = {93-127},
  crossref = {SRL2007},
  file = {Domingos07.pdf:Domingos07.pdf:PDF},
  keywords = {digging, statistical-relational},
  owner = {hkhosrav},
  timestamp = {2008.10.10}
}

@CONFERENCE{Tang2013,
  author = {Guanting Tang and James Bailey and Jian Pei and Guozhu Dong},
  title = {Mining multidimensional contextual outliers from categorical relational
	data},
  booktitle = {SSDBM},
  year = {2013},
  pages = {43},
  crossref = {DBLP:conf/ssdbm/2013},
  ee = {http://doi.acm.org/10.1145/2484838.2484883},
  owner = {zqian},
  timestamp = {2014.01.31}
}

@INPROCEEDINGS{Tillman2008,
  author = {Robert E. Tillman and David Danks and Clark Glymour},
  title = {Integrating Locally Learned Causal Structures with Overlapping Variables},
  booktitle = {NIPS},
  year = {2008},
  pages = {1665-1672},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/nips/2008},
  ee = {http://books.nips.cc/papers/files/nips21/NIPS2008_0304.pdf},
  file = {Tillman2008.pdf:Tillman2008.pdf:PDF},
  keywords = {{B}ayes Nets},
  owner = {oliverschulte},
  review = {has an algorithm for combining different graphs from different tables.},
  timestamp = {2010.03.30}
}

@INPROCEEDINGS{Tresp2008,
  author = {Volker Tresp and Markus Bundschus and Achim Rettinger and Yi Huang},
  title = {Towards Machine Learning on the Semantic Web},
  booktitle = {URSW (LNCS Vol.)},
  year = {2008},
  pages = {282-314},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/semweb/2007ursw-lncs},
  ee = {http://dx.doi.org/10.1007/978-3-540-89765-1_17},
  keywords = {statistical-relational, description logic, ontology},
  owner = {oschulte},
  timestamp = {2009.01.07},
  url = {http://wwwbrauer.informatik.tu-muenchen.de/~trespvol/papers/LearningRDF23.pdf}
}

@INPROCEEDINGS{Vardi1995,
  author = {Moshe Y. Vardi},
  title = {On the Complexity of Bounded-Variable Queries},
  booktitle = {PODS},
  year = {1995},
  pages = {266-276},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/pods/95},
  ee = {http://doi.acm.org/10.1145/212433.212474, db/conf/pods/Vardi95.html},
  file = {Vardi1995.pdf:Vardi1995.pdf:PDF},
  keywords = {statistical-relational},
  review = {introduces notion of bounded number of variables. Useful link to overview
	talk: vardi-queries}
}

@INPROCEEDINGS{Walker2010,
  author = {Trevor Walker and Ciaran O'Reilly and Gautam Kunapuli and Sriraam
	Natarajan and Richard Maclin and David Page and Jude W. Shavlik},
  title = {Automating the ILP Setup Task: Converting User Advice about Specific
	Examples into General Background Knowledge},
  booktitle = {ILP},
  year = {2010},
  pages = {253-268},
  crossref = {DBLP:conf/ilp/2010},
  ee = {http://dx.doi.org/10.1007/978-3-642-21295-6_28}
}

@INCOLLECTION{wolfenstein:_tests_conser_laws,
  author = {Wolfenstein, L. and Trippe, T.G.},
  title = {Tests of Conservation Laws},
  booktitle = {The Review of Particle Physics},
  crossref = {PDBook},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Xiang2008,
  author = {Rongjing Xiang and Jennifer Neville},
  title = {Pseudolikelihood EM for Within-network Relational Learning},
  booktitle = {ICDM},
  year = {2008},
  pages = {1103-1108},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/icdm/2008},
  ee = {http://dx.doi.org/10.1109/ICDM.2008.148},
  file = {Xiang2008.pdf:Xiang2008.pdf:PDF},
  keywords = {statistical-relational},
  review = {discussed pseudolikelihood for relational dependency networks}
}

@INPROCEEDINGS{Xu2009,
  author = {Zhao Xu and Kristian Kersting and Volker Tresp},
  title = {Multi-Relational Learning with Gaussian Processes},
  booktitle = {IJCAI},
  year = {2009},
  pages = {1309-1314},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/ijcai/2009},
  ee = {http://ijcai.org/papers09/Papers/IJCAI09-220.pdf},
  file = {Xu2009.pdf:Xu2009.pdf:PDF}
}

@INPROCEEDINGS{Xu2006,
  author = {Zhao Xu and Volker Tresp and Kai Yu and Hans-Peter Kriegel},
  title = {Infinite Hidden Relational Models},
  booktitle = {UAI},
  year = {2006},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  crossref = {DBLP:conf/uai/2006},
  ee = {http://uai.sis.pitt.edu/displayArticleDetails.jsp?mmnu=1{\&}smnu=2{\&}article_id=1291{\&}proceeding_id=22},
  file = {Xu2006.pdf:Xu2006.pdf:PDF},
  review = {nice evaluation. can cite for existence uncertainty.}
}

@ARTICLE{(ParticleDataGroup)2004,
  author = {S. Eidelman et al. (Particle Data Group)},
  title = {The Review of Particle Physics},
  journal = {Phys. Lett. B},
  year = {2004},
  volume = {592},
  number = {1},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@CONFERENCE{jaeger,
  author = {M. Jaeger et al},
  title = {Parameter learning for relational {B}ayesian networks},
  booktitle = {Proceedings of the 24th international conference on Machine learning},
  year = {2007},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@MANUAL{scheines96:_tetrad,
  title = {TETRAD 3 User's Manual},
  author = {R. Scheines et. al.},
  organization = {CMU},
  year = {1996},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{null2008a,
  author = {S. {Eidelman} et al.},
  title = {{Review of Particle Physics}},
  journal = {{Physics Letters B}},
  year = {2008},
  volume = {592},
  pages = {1+},
  keywords = {particle physics},
  owner = {oliverschulte},
  timestamp = {2008.12.30},
  url = {http://pdg.lbl.gov}
}

@INPROCEEDINGS{Abadi2003,
  author = {M. Abadi and A. Birrell and M. Burrows and F. Dabek and T. Wobber},
  title = {Bankable Postage for Network Services},
  booktitle = {Proceedings of the 8th Asian Computing Science Conference},
  year = {2003},
  address = {Mumbai, India},
  month = {December},
  note = {Available: \url{http://research.microsoft.com/research/sv/sv-pubs/TicketServer.pdf}},
  keywords = {POSTAGE},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://research.microsoft.com/research/sv/sv-pubs/TicketServer.pdf}
}

@INPROCEEDINGS{Abadi2003a,
  author = {M. Abadi and M. Burrows and M. Manasse and T. Wobber},
  title = {Moderately Hard, Memory-Bound Functions},
  booktitle = {Proceedings of the 10th Annual Network and Distributed System Security
	Symposium},
  year = {2003},
  month = {February},
  note = {Available: \url{http://research.microsoft.com/research/sv/sv-pubs/memory-final-ndss.pdf}},
  keywords = {POSTAGE},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = { http://research.microsoft.com/research/sv/sv-pubs/memory-final-ndss.pdf}
}

@INPROCEEDINGS{Abbeel:2004:ALV:1015330.1015430,
  author = {Abbeel, Pieter and Ng, Andrew Y.},
  title = {{Apprenticeship Learning via Inverse Reinforcement Learning}},
  booktitle = {Proceedings of the Twenty-first International Conference on Machine
	Learning},
  year = {2004},
  series = {ICML '04},
  pages = {1--},
  address = {New York, NY, USA},
  publisher = {ACM},
  acmid = {1015430},
  doi = {10.1145/1015330.1015430},
  isbn = {1-58113-838-5},
  location = {Banff, Alberta, Canada},
  owner = {oschulte},
  timestamp = {2018.06.02},
  url = {http://doi.acm.org/10.1145/1015330.1015430}
}

@BOOK{abelson-et-al:scheme,
  title = {Structure and Interpretation of Computer Programs},
  publisher = {MIT Press},
  year = {1985},
  author = {Harold Abelson and Gerald~Jay Sussman and Julie Sussman},
  address = {Cambridge, Massachusetts},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{1451994,
  author = {Abernethy, Jacob and Chapelle, Olivier and Castillo, Carlos},
  title = {Web spam identification through content and hyperlinks},
  booktitle = {AIRWeb '08: Proceedings of the 4th international workshop on Adversarial
	information retrieval on the web},
  year = {2008},
  pages = {41--44},
  address = {New York, NY, USA},
  publisher = {ACM},
  doi = {http://doi.acm.org/10.1145/1451983.1451994},
  isbn = {978-1-60558-159-0},
  location = {Beijing, China},
  owner = {oschulte},
  timestamp = {2009.09.30}
}

@ARTICLE{Abrevaya2014,
  author = {Abrevaya, Jason and Robert, McCulloch},
  title = {Reversal of fortune: a statistical analysis of penalty calls in the
	National Hockey League},
  journal = {Journal of Quantitative Analysis in Sports},
  year = {2014},
  volume = {10},
  pages = {207-224},
  number = {2},
  abstract = {This paper analyzes a unique data set consisting of all penalty calls
	in the National Hockey League between the 1995?1996 and 2001?2002
	seasons. The primary finding is the prevalence of ?reverse calls:?
	if previous penalties have been on one team, then the next penalty
	is more likely to be on the other. This pattern is consistent with
	a simple behavioral rationale based on the fundamental difficulty
	of refereeing a National Hockey League game. Statistical modeling
	reveals that the identity of the next team to be penalized also depends
	on a variety of other factors, including the score, the time in the
	game, the time since last penalty, which team is at home, and whether
	one or two referees are calling the game. There is also evidence
	of differences among referees in their tendency to reverse calls.},
  file = {:Abrevaya2014.pdf:PDF},
  owner = {Kurt},
  timestamp = {2014.12.24},
  url = {http://EconPapers.repec.org/RePEc:bpj:jqsprt:v:10:y:2014:i:2:p:18:n:3}
}

@BOOK{aggarwal2013,
  title = {Outlier Analysis},
  publisher = {Springer New York},
  year = {2013},
  author = {Aggarwal, C.C.},
  isbn = {9781461463955},
  lccn = {2012956186},
  owner = {oschulte},
  timestamp = {2015.09.02},
  url = {http://books.google.ca/books?id=900CkgEACAAJ}
}

@INPROCEEDINGS{Agrawal1994,
  author = {R. Agrawal and R. Srikant},
  title = {Fast algorithms for mining association rules in large databases},
  booktitle = {Proc International Conference on Very Large Databases},
  year = {1994},
  pages = {478-499},
  address = {Santiage, Chile},
  publisher = {Morgan Kaufmann, Los Altos, CA.},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Agresti2002,
  title = {Categorical data analysis},
  publisher = {Wiley},
  year = {2002},
  author = {Agresti, A.},
  address = {New York},
  edition = {2},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Ahmed2004,
  author = {Shabbir Ahmed and Farzana Mithun},
  title = {Word Stemming to Enhance Spam Filtering},
  booktitle = {Proceedings of the First Conference on Email and Anti-Spam (CEAS)},
  year = {2004},
  note = {Available: \url{http://www.ceas.cc/papers-2004/167.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.ceas.cc/papers-2004/167.pdf}
}

@ARTICLE{Aizerman1964,
  author = {Aizerman, M. A. and Braverman, E. M. and Rozonoer, L. I.},
  title = {Theoretical foundations of the potential function method in pattern
	recognition learning},
  journal = {Automation and Remote Control},
  year = {1964},
  volume = {25},
  pages = {821-837},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Akoglu2010,
  author = {Leman Akoglu and Mary Mcglohon and Christos Faloutsos},
  title = {OddBall: Spotting Anomalies in Weighted Graphs},
  booktitle = {PAKDD},
  year = {2010},
  pages = {410-421}
}

@ARTICLE{Akoglu2015,
  author = {Akoglu, Leman and Tong, Hanghang and Koutra, Danai},
  title = {Graph based anomaly detection and description: a survey},
  journal = {Data Mining and Knowledge Discovery},
  year = {2015},
  volume = {29},
  pages = {626--688},
  number = {3},
  publisher = {Springer}
}

@BOOK{schwartz,
  title = {Handbook of Statistical Methods and Analyses in Sports},
  publisher = {CRC Press},
  year = {2017},
  author = {Albert, Jim and Glickman, Mark E and Swartz, Tim B and Koning, Ruud
	H}
}

@MISC{bib:bayes-convert,
  author = {{Alchemy Group}},
  title = {Frequently Asked Questions},
  year = {2013},
  note = {URL = \url{http://alchemy.cs.washington.edu/}},
  keywords = {statistical-relational},
  owner = {oliverschulte},
  timestamp = {2009.10.02}
}

@ARTICLE{bib:besserwisser,
  author = {C.E. Alchourr{\'o}n and D. Makinson},
  title = {The Logic of Theory Change: Contraction Functions and Their Associated
	Revision Function},
  journal = {Theoria},
  year = {1982},
  volume = {48},
  pages = {14-37},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@TECHREPORT{Aliferis2002,
  author = {C. F. Aliferis and I. Tsamardinos},
  title = {Algorithms for Large Scale Local Causal Discovery and Feature Selection
	in the Presence of Limited Sample or Large Causal Neighborhoods},
  institution = {Department of Biomedical Informatics, Vanderbilt University},
  year = {2002},
  number = {DSL-0208},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Allen2000a,
  author = {T. van Allen and R. Greiner},
  title = {Model Selection Criteria for Learning Belief Nets: An Empirical Comparison.},
  booktitle = {ICML},
  year = {2000},
  pages = {1047-1054},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@MASTERSTHESIS{Allen2000,
  author = {Timothy K. Van Allen},
  title = {Handling Uncertainty When You're Handling Uncertainty: Model Selection
	and Error Bars for Belief Networks},
  school = {University of Alberta},
  year = {2000},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Allen2008,
  author = {Tim Van Allen and Ajit Singh and Russell Greiner and Peter Hooper},
  title = {Quantifying the uncertainty of a belief net response: Bayesian error-bars
	for belief net inference},
  journal = {Artif. Intell.},
  year = {2008},
  volume = {172},
  pages = {483-513},
  number = {4-5},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1016/j.artint.2007.09.004}
}

@BOOK{alpaydin04:_introd_machin_learn_adapt_comput_machin_learn,
  title = {Introduction to Machine Learning (Adaptive Computation and Machine
	Learning)},
  publisher = {MIT Press},
  year = {2004},
  author = {Alpaydin, E.},
  address = {Cambridge, Mass},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INCOLLECTION{Ambainis1995,
  author = {A. Ambainis},
  title = {The Power of Procrastination in Inductive Inference: How It Depends
	on Used Ordinal Notations},
  booktitle = {Proceedings of EuroCOLT 1995)},
  publisher = {Springer},
  year = {1995},
  editor = {P. Vitanyi},
  pages = {99-111},
  address = {Berlin},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Ambainis1999,
  author = {A. Ambainis and S. Jain and A. Sharma},
  title = {Ordinal Mind Change Complexity of Language Identification},
  journal = {Theor. Comput. Sci.},
  year = {1999},
  volume = {220(2)},
  pages = {323--343},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{bib:relevance,
  title = {Entailment: the Logic of Relevance and Necessity},
  publisher = {Princeton University Press},
  year = {1975},
  author = {A. Anderson and N. Belnap},
  address = {Princeton},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Anderson2003,
  title = {An Introduction to Multivariate Statistical Analysis},
  publisher = {Wiley-Interscience},
  year = {2003},
  author = {T. W. Anderson},
  edition = {3},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@MISC{Andrieu2003,
  author = {Andrieu, C. and de Freitas, N. and Doucet, A. and Jordan, M. },
  title = {An introduction to MCMC for machine learning},
  year = {2003},
  abstract = {This purpose of this introductory paper is threefold. First, it introduces
	the Monte Carlo method with emphasis on probabilistic machine learning.
	Second, it reviews the main building blocks of modern Markov chain
	Monte Carlo simulation, thereby providing and introduction to the
	remaining papers of this special issue. Lastly, it discusses new
	interesting research horizons.},
  citeulike-article-id = {815714},
  keywords = {carlo, chain, markov, mcmc, monte, sampling},
  owner = {hkhosrav},
  posted-at = {2008-01-25 17:01:51},
  priority = {4},
  timestamp = {2009.08.26},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.7133}
}

@INPROCEEDINGS{Androutsopoulos2000b,
  author = {I. Androutsopoulos and J. Koutsias and K.V. Chandrinos and G. Paliouras
	and C.D. Spyropoulos},
  title = {An Evaluation of Naive {B}ayesian Anti-Spam Filtering},
  booktitle = {Proceedings of the Workshop on Machine Learning in the New Information
	Age, 11th European Conference on Machine Learning (ECML 2000)},
  year = {2000},
  editor = {G. Potamias and V. Moustakis and M.n van Someren},
  pages = {9--17},
  address = {Barcelona, Spain},
  note = {Available: \url{http://arXiv.org/abs/cs.CL/0006013}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://arXiv.org/abs/cs.CL/0006013}
}

@INPROCEEDINGS{Androutsopoulos2000,
  author = {Ion Androutsopoulos and John Koutsias and Konstandinos V. Chandrinos
	and Constantine D. Spyropoulos},
  title = {An experimental comparison of naive {B}ayesian and keyword-based
	anti-spam filtering with personal e-mail messages},
  booktitle = {Proceedings of SIGIR-00, 23rd ACM International Conference on Research
	and Development in Information Retrieval},
  year = {2000},
  editor = {Nicholas J. Belkin and Peter Ingwersen and Mun-Kew Leong},
  pages = {160--167},
  address = {Athens, GR},
  publisher = {ACM Press, New York, US},
  note = {Available: \url{http://www.acm.org/pubs/articles/proceedings/ir/345508/p160-androutsopoulos/p160-androutsopoulos.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = { http://www.acm.org/pubs/articles/proceedings/ir/345508/p160-androutsopoulos/p160-androutsopoulos.pdf}
}

@INPROCEEDINGS{Androutsopoulos2000a,
  author = {I. Androutsopoulos and G. Paliouras and V. Karkaletsis and G. Sakkis
	and C.D. Spyropoulos and P. Stamatopoulos},
  title = {Learning to Filter Spam E-Mail: A Comparison of a Naive {B}ayesian
	and a Memory-Based Approach},
  booktitle = {Proceedings of the Workshop on Machine Learning and Textual Information
	Access, 4th European Conference on Principles and Practice of Knowledge
	Discovery in Databases (PKDD 2000)},
  year = {2000},
  editor = {H. Zaragoza and P. Gallinari and and M. Rajman},
  pages = {1--13},
  address = {Lyon, France},
  note = {Available: \url{http://arXiv.org/abs/cs/0009009}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://arXiv.org/abs/cs/0009009}
}

@INPROCEEDINGS{Angin2008,
  author = {Angin, Pelin and Neville, Jennifer},
  title = {A shrinkage approach for modeling non-stationary relational autocorrelation},
  booktitle = {Data Mining, 2008. ICDM'08. Eighth IEEE International Conference
	on},
  year = {2008},
  pages = {707--712},
  organization = {IEEE},
  file = {Angin2008.pdf:Angin2008.pdf:PDF},
  keywords = {statistical-relational}
}

@ARTICLE{Angluin2004,
  author = {D. Angluin},
  title = {Queries revisited},
  journal = {Theoretical Computer Science},
  year = {2004},
  volume = {313},
  pages = {175-194},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Angluin1988,
  author = {D. Angluin},
  title = {Queries and Concept Learning},
  journal = {Machine Learning},
  year = {1988},
  volume = {2},
  pages = {319-342},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Angluin1982,
  author = {D. Angluin},
  title = {Inference of Reversible Languages},
  journal = {J. ACM},
  year = {1982},
  volume = {29},
  pages = {741--765},
  number = {3},
  doi = {http://doi.acm.org/10.1145/322326.322334},
  issn = {0004-5411},
  owner = {hkhosrav},
  publisher = {ACM Press},
  timestamp = {2008.10.08}
}

@ARTICLE{Angluin1980,
  author = {D Angluin},
  title = {Inductive Inference of Formal Languages from Positive Data},
  journal = {Information and Control},
  year = {1980},
  volume = {45(2)},
  pages = {117--135},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Angluin1980a,
  author = {D Angluin},
  title = {Finding Patterns Common to a Set of Strings},
  journal = {J. Comput. Syst. Sci.},
  year = {1980},
  volume = {21(1)},
  pages = {46-62},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Angluin1979,
  author = {Angluin, D.},
  title = {Finding Patterns Common to a Set of Strings},
  booktitle = {Eleventh Annual ACM Symposium on the Theory of Computing},
  year = {1979},
  pages = {130-141},
  month = May,
  key = {Angluin},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Angluin2005,
  author = {Dana Angluin and Jiang Chen},
  title = {Learning a Hidden Hypergraph.},
  booktitle = {COLT},
  year = {2005},
  pages = {561-575},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1007/11503415_38},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Angluin2004a,
  author = {Dana Angluin and Jiang Chen},
  title = {Learning a Hidden Graph Using O(log n) Queries Per Edge.},
  booktitle = {COLT},
  year = {2004},
  pages = {210-223},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://springerlink.metapress.com/openurl.asp?genre=article{\&}issn=0302-9743{\&}volume=3120{\&}spage=210},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Aoki2005,
  author = {Eriko Aoki and Naoko Mori and Hidenori Tanaka},
  title = {Paracompactness and the Lindel???f property in countable products},
  journal = {Topology and its Applications},
  year = {2005},
  volume = {146-147},
  pages = {57-66},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Aoki2005a,
  author = {Eriko Aoki and Naoko Mori and Hidenori Tanaka},
  title = {Paracompactness and the Lindel????f property in countable products},
  journal = {Topology and its Applications},
  year = {2005},
  volume = {146-147},
  pages = {57-66},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Aoki2005b,
  author = {Eriko Aoki and Naoko Mori and Hidenori Tanaka},
  title = {Paracompactness and the Lindel?f property in countable products},
  journal = {Topology and its Applications},
  year = {2005},
  volume = {146-147},
  pages = {57-66},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INCOLLECTION{Apsitis1994,
  author = {K. Apsitis},
  title = {Derived Sets and Inductive Inference},
  booktitle = {Proceedings of ALT 1994},
  publisher = {Springer},
  year = {1994},
  editor = {S. Arikawa and K. P. Jantke},
  pages = {26-39},
  address = {Berlin, Heidelberg},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Apt1991,
  author = {Krzysztof R. Apt and Marc Bezem},
  title = {Acyclic Programs},
  journal = {New Generation Comput.},
  year = {1991},
  volume = {9},
  pages = {335-364},
  number = {3/4},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  keywords = {ilp}
}

@INPROCEEDINGS{Arikawa1989,
  author = {S. Arikawa and T. Shinohara and A. Yamamoto},
  title = {Elementary formal system as a unifying framework for language learning},
  booktitle = {Proceedings of the second annual workshop on Computational learning
	theory},
  year = {1989},
  pages = {312--327},
  publisher = {Morgan Kaufmann Publishers Inc.},
  isbn = {1-55860-086-8},
  location = {Santa Cruz, California, United States},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Arimura1994,
  author = {H. Arimura and T. Shinohara and S. Otsuki},
  title = {Finding minimal generalizations for unions of pattern languages and
	its application to inductive inference fom positive data},
  booktitle = {Proceedings of the 11th Annual Symposium on Theoretical Aspects of
	Computer Science},
  year = {1994},
  editor = {P. Enjalbert and E. W. Mayr and K. W. Wagner},
  pages = {649--660},
  address = {Caen, France},
  publisher = {Springer-Verlag, Berlin},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{aris69:_elemen_chemic_react_analy,
  title = {Elementary Chemical Reactor Analysis},
  publisher = {Prentice Hall },
  year = {1969},
  author = {Rutherford Aris},
  address = {Englewood Cliffs, N.J.},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@MISC{ArjovskyChintalaBottou2017,
  author = {Arjovsky, Martin and Chintala, Soumith and Bottou, L\'{e}on},
  title = {{Wasserstein GAN}},
  month = dec,
  year = {2017},
  archiveprefix = {arXiv},
  day = {6},
  owner = {oschulte},
  posted-at = {2017-02-04 06:13:41},
  priority = {2},
  timestamp = {2018.06.02},
  url = {http://arxiv.org/abs/1701.07875}
}

@INPROCEEDINGS{bib:hora-snakes,
  author = {Horacio Arl{\'o}-Costa},
  title = {Epistemic Conditionals, Snakes and Stars},
  booktitle = {Conditionals, from Philosophy to Computer Science},
  year = {1995},
  series = {Studies in Logic and Computation},
  address = {Oxford},
  publisher = {Oxford University Press},
  editors = {Farinas del Cerro, G. Crocco, A. Herzig},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{bib:hora-success,
  author = {Horacio Arl{\'o}-Costa},
  title = {Conditionals and Monotonic Belief Revisions: the Success Postulate},
  journal = {Studia Logica},
  year = {1990},
  volume = {49},
  pages = {557-566},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Artin1991,
  title = {Algebra},
  publisher = {Prentice Hall},
  year = {1991},
  author = {Michael Artin},
  file = {SmithNormalForm.ps:www.math.mtu.edu/~kreher/ ABOUTME/syllabus/SmithNormalForm.ps:PDF},
  keywords = {linear algebra},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Ashcroft2012,
  author = {Ashcroft, Michael},
  title = {Using Bayesian networks in business analytics : Overview and short
	case study},
  journal = {Business Informatics},
  year = {2012},
  volume = {3},
  pages = {955-961},
  number = {25},
  file = {:D\:\\Kurt's Work\\Research\\Subversion\\texmf\\Ashcroft2012.pdf:PDF},
  institution = {Uppsala University, Computing Science},
  owner = {Kurt},
  timestamp = {2014.07.30}
}

@INCOLLECTION{Atramentov2003,
  author = {Anna Atramentov and Hector Leiva and Vasant Honavar},
  title = {A Multi-relational Decision Tree Learning Algorithm - Implementation
	and Experiments},
  booktitle = {ILP},
  publisher = {Springer},
  year = {2003},
  volume = {2835},
  series = {LNAI},
  pages = {38-56}
}

@INPROCEEDINGS{Auer2004,
  author = {Peter Auer and Ronald Ortner},
  title = {A New PAC Bound for Intersection-Closed Concept Classes.},
  booktitle = {COLT},
  year = {2004},
  pages = {408-414},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://springerlink.metapress.com/openurl.asp?genre=article{\&}issn=0302-9743{\&}volume=3120{\&}spage=408},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@MISC{TechAnonym,
  author = {Author},
  title = {Suppressed for Anonymity},
  year = {2009}
}

@INPROCEEDINGS{ba2014deep,
  author = {Ba, Jimmy and Caruana, Rich},
  title = {Do deep nets really need to be deep?},
  booktitle = {Advances in neural information processing systems},
  year = {2014},
  pages = {2654--2662}
}

@INPROCEEDINGS{Babcock2005,
  author = {Babcock, Brian and Chaudhuri, Surajit},
  title = {Towards a robust query optimizer: a principled and practical approach},
  booktitle = {Proceedings of the 2005 ACM SIGMOD international conference on Management
	of data},
  year = {2005},
  series = {SIGMOD '05},
  pages = {119--130},
  address = {New York, NY, USA},
  publisher = {ACM},
  acmid = {1066172},
  doi = {10.1145/1066157.1066172},
  isbn = {1-59593-060-4},
  location = {Baltimore, Maryland},
  numpages = {12},
  url = {http://doi.acm.org/10.1145/1066157.1066172}
}

@INPROCEEDINGS{Bacchus93,
  author = {Fahiem Bacchus},
  title = {Using First-Order Probability Logic for the Construction of {B}ayesian
	Networks},
  booktitle = {UAI},
  year = {1993},
  pages = {219-226},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://rome.exp.sis.pitt.edu/UAI/Abstract.asp?articleID=583{\&}proceedingID=9},
  file = {Bacchus93.pdf:Bacchus93.pdf:PDF},
  keywords = {{B}ayes Nets, statistical-relational}
}

@BOOK{Bacchus90,
  title = {Representing and Reasoning with Probabilistic Knowledge: A Logical
	Approach to Probabilities},
  publisher = {MIT Press},
  year = {1990},
  author = {Bacchus, Fahiem},
  address = {Cambridge, MA, USA},
  keywords = {statistical-relational}
}

@INPROCEEDINGS{Bacchus1992,
  author = {Fahiem Bacchus and Adam J. Grove and Daphne Koller and Joseph Y.
	Halpern},
  title = {From Statistics to Beliefs},
  booktitle = {AAAI},
  year = {1992},
  pages = {602-608},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  file = {Bacchus1992.pdf:Bacchus1992.pdf:PDF}
}

@ARTICLE{Bacchus1999,
  author = {Fahiem Bacchus and Joseph Y. Halpern and Hector J. Levesque},
  title = {Reasoning about noisy sensors and effectors in the situation calculus},
  journal = {Artificial Intelligence},
  year = {1999},
  volume = {111},
  pages = {171 - 208},
  number = {1-2},
  doi = {DOI: 10.1016/S0004-3702(99)00031-4},
  issn = {0004-3702},
  keywords = {Sensors},
  url = {http://www.sciencedirect.com/science/article/B6TYF-3X7VMJC-6/2/638ec1466a069057f27dde89e7c45ce9}
}

@INPROCEEDINGS{bakker2002reinforcement,
  author = {Bakker, Bram},
  title = {Reinforcement learning with long short-term memory},
  booktitle = {Advances in neural information processing systems},
  year = {2002},
  pages = {1475--1482}
}

@INPROCEEDINGS{Bakker2001,
  author = {Bakker, Bram},
  title = {Reinforcement Learning with Long Short-Term Memory.},
  booktitle = {NIPS},
  year = {2001},
  pages = {1475--1482}
}

@ARTICLE{Baliga1999,
  author = {G. Baliga and J. Case and S. Jain},
  title = {The Synthesis of Language Learners},
  journal = {Information and Computation},
  year = {1999},
  volume = {152},
  pages = {16-43},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INCOLLECTION{Barzdins1974,
  author = {J. Barzdins and R. Freivalds},
  title = {Prediction and limiting synthesis of recursively enumerable classes
	of functions},
  booktitle = {Theory of Algorithms and Programs},
  publisher = {Latvian State University},
  year = {1974},
  editor = {Janis Barzdins},
  volume = {1},
  pages = {112-128},
  note = {in Russian},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{bib:battigalli,
  author = {P. Battigalli},
  title = {Strategic Rationality Orderrings and the Best Rationalization Principle},
  journal = {Games and Economic Behavior},
  year = {1996},
  volume = {13},
  pages = {178-200},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Bau1997,
  title = {Numerical linear algebra},
  publisher = {SIAM},
  year = {1997},
  author = {David Bau and Lloyd N. Trefethen},
  address = {Philadelphia},
  isbn = {978-0-89871-361-9},
  keywords = {linear algebra},
  owner = {oliverschulte},
  timestamp = {2010.05.14}
}

@BOOK{Baum1964,
  title = {Elements of Point Set Topology},
  publisher = {rep. Dover, 1991},
  year = {1964},
  author = {J. D. Baum},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Baumgartner,
  author = {Michael Baumgartner},
  title = {Uncovering deterministic causal structures: a Boolean approach},
  journal = {Synthese},
  abstract = {While standard procedures of causal reasoning as procedures analyzing
	causal {B}ayesian networks are custom-built for (non-deterministic)
	probabilistic structures, this paper introduces a Boolean procedure
	that uncovers deterministic causal structures. Contrary to existing
	Boolean methodologies, the procedure advanced here successfully analyzes
	structures of arbitrary complexity. It roughly involves three parts:
	first, deterministic dependencies are identified in the data; second,
	these dependencies are suitably minimalized in order to eliminate
	redundancies; and third, one or{\textemdash}in case of ambiguities{\textemdash}more
	than one causal structure is assigned to the minimalized deterministic
	dependencies.},
  doi = {10.1007/s11229-008-9348-0},
  owner = {oliverschulte},
  timestamp = {2008.12.30},
  url = {http://dx.doi.org/10.1007/s11229-008-9348-0}
}

@INPROCEEDINGS{bgf:Lixto,
  author = {Robert Baumgartner and Georg Gottlob and Sergio Flesca},
  title = {Visual Information Extraction with {Lixto}},
  booktitle = {Proceedings of the 27th International Conference on Very Large Databases},
  year = {2001},
  pages = {119--128},
  address = {Rome, Italy},
  month = {September},
  publisher = {Morgan Kaufmann},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Schulte2016st,
  author = {David Beaudoin and Oliver Schulte and Tim Swartz},
  title = {Biased Penalty Calls in the National Hockey League},
  journal = {Statistical Analysis and Data Mining: The ASA Data Science Journal},
  year = {2016},
  volume = {9},
  pages = {365--372}
}

@ARTICLE{Beaudoin2010,
  author = {Beaudoin, David and Swartz, Tim B.},
  title = {Strategies for Pulling the Goalie in Hockey},
  journal = {The American Statistician},
  year = {2010},
  volume = {64},
  pages = {197-204},
  number = {3},
  file = {:Beaudoin2010.pdf:PDF},
  owner = {Kurt},
  timestamp = {2014.12.24},
  url = {http://EconPapers.repec.org/RePEc:bes:amstat:v:64:i:3:y:2010:p:197-204}
}

@INPROCEEDINGS{Beinlich1989,
  author = {I. Beinlich and H. Suermondt and R. Chavez and G. Cooper},
  title = {The ALARM monitoring system},
  booktitle = {AIME'89},
  year = {1989},
  pages = {247-256},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{beinlich89:_alarm,
  author = {I. Beinlich and H. Suermondt and R. Chavez and G. Cooper},
  title = {The ALARM monitoring system: A case study with two probabilistic
	inference techniques for belief networks},
  booktitle = {Proceedings of the Second European Conference on Artificial Intelligence
	in Medicine},
  year = {1989},
  pages = {247-256},
  address = {London},
  publisher = {Springler Verlag, Berlin},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Ben-David1993,
  author = {S. Ben-David and M. Jacovi},
  title = {On learning in the limit and non-uniform (\&egr;,\&dgr;)-learning},
  booktitle = {Proceedings of the sixth annual conference on Computational learning
	theory},
  year = {1993},
  pages = {209--217},
  publisher = {ACM Press},
  doi = {http://doi.acm.org/10.1145/168304.168333},
  isbn = {0-89791-611-5},
  location = {Santa Cruz, California, United States},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Bengio2014,
  author = {Yoshua Bengio and Eric Laufer and Guillaume Alain and Jason Yosinski},
  title = {Deep Generative Stochastic Networks Trainable by Backprop},
  booktitle = {{ICML} 2014},
  year = {2014},
  pages = {226--234},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl = {http://dblp.uni-trier.de/rec/bib/conf/icml/BengioLAY14},
  timestamp = {Fri, 07 Nov 2014 20:42:30 +0100},
  url = {http://jmlr.org/proceedings/papers/v32/bengio14.html}
}

@ARTICLE{Benjamini1995,
  author = {Y. Benjamini and Y. Hochberg},
  title = {Controllling the false discovery rate---a practical and powerful
	approach to multiple testing.},
  journal = {Journal of the Royal Statistical Society},
  year = {1995},
  volume = {57(1)},
  pages = {289--300},
  owner = {oliverschulte},
  timestamp = {2008.02.01}
}

@ARTICLE{Berenbrink10,
  author = {Petra Berenbrink and Oliver Schulte},
  title = {Evolutionary Equilibrium in Symmetric {B}ayesian Routing Games},
  journal = {Theoretical Computer Science},
  year = {2010},
  volume = {411},
  pages = {1054-1074},
  file = {Berenbrink10.pdf:Berenbrink10.pdf:PDF}
}

@ARTICLE{Berliner1979,
  author = {Hans Berliner},
  title = {The B*- tree search algorithm: A best-first proof procedure},
  journal = {Artificial Intelligence },
  year = {1979},
  volume = {12},
  pages = {23-40},
  number = {1},
  abstract = {In this paper we present a new algorithm for searching trees. The
	algorithm, which we have named B*, finds a proof that an arc at the
	root of a search tree is better than any other. It does this by attempting
	to find both the best arc at the root and the simplest proof, in
	best-first fashion. This strategy determines the order of node expansion.
	Any node that is expanded is assigned two values: an upper (or optimistic)
	bound and a lower (or pessimistic) bound. During the course of a
	search, these bounds at a node tend to converge, producing natural
	termination of the search. As long as all nodal bounds in a sub-tree
	are valid, B??? will select the best arc at the root of that sub-tree.
	We present experimental and analytic evidence that B??? is much more
	effective than present methods of searching adversary trees. The
	B??? method assigns a greater responsibility for guiding the search
	to the evaluation functions that compute the bounds than has been
	done before. In this way knowledge, rather than a set of arbitrary
	predefined limits can be used to terminate the search itself. It
	is interesting to note that the evaluation functions may measure
	any properties of the domain, thus resulting in selecting the arc
	that leads to the greatest quantity of whatever is being measured.
	We conjecture that this method is that used by chess masters in analyzing
	chess trees.},
  doi = {http://dx.doi.org/10.1016/0004-3702(79)90003-1},
  issn = {0004-3702},
  owner = {Kurt},
  timestamp = {2015.01.07},
  url = {http://www.sciencedirect.com/science/article/pii/0004370279900031}
}

@INPROCEEDINGS{Bertasius2018,
  author = {Gedas Bertasius and Aaron Chan and Jianbo Shi},
  title = {Learning an Egocentric Basketball Ghosting Model using Wearable Cameras
	and Deep Convolutional Networks},
  booktitle = {MIT Sloan Sports Analytics Conference},
  year = {2018},
  owner = {oschulte},
  timestamp = {2018.06.02}
}

@ARTICLE{Besag1975,
  author = {Besag, Julian },
  title = {Statistical Analysis of Non-Lattice Data},
  journal = {The Statistician},
  year = {1975},
  volume = {24},
  pages = {179--195},
  number = {3},
  abstract = {A Markovian approach to the specification of spatial stochastic interaction
	for irregularly distributed data points is reviewed. Three specific
	methods of statistical analysis are proposed; the first two are generally
	applicable whilst the third relates only to "normally" distributed
	variables. Some reservations are expressed and the need for practical
	investigations is emphasized.},
  citeulike-article-id = {3610563},
  doi = {10.2307/2987782},
  issn = {00390526},
  keywords = {1975, bayesian, disease\_mapping, gmrf, intrinsic, lattice, statistics},
  owner = {hkhosrav},
  posted-at = {2008-11-20 14:33:18},
  priority = {4},
  publisher = {Blackwell Publishing for the Royal Statistical Society},
  timestamp = {2009.06.02},
  url = {http://dx.doi.org/10.2307/2987782}
}

@INPROCEEDINGS{Bialkowski2014,
  author = {Bialkowski, Alina and Lucey, Patrick and Carr, Peter and Yue, Yisong
	and Sridharan, Sridha and Matthews, Iain},
  title = {Large-Scale Analysis of Soccer Matches using Spatiotemporal Tracking
	Data},
  booktitle = {Proceedings IEEE ICDM 2014},
  year = {2014},
  file = {:Bialkowski2014:PDF},
  keywords = {sports}
}

@INCOLLECTION{bib:cristina,
  author = {Cristina Bicchieri and Eithan Ephrati and Aldo Antonelli},
  title = {Games Servers Play: A Procedural Approach},
  booktitle = {Intelligent Agents II},
  publisher = {Springer-Verlag},
  year = {1996},
  pages = {127--142},
  address = {Berlin},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{bicchieri_common_1996,
  author = {C. Bicchieri and O. Schulte},
  title = {Common reasoning about admissibility},
  journal = {Erkenntnis},
  year = {1996},
  volume = {45},
  pages = {299--325},
  number = {2}
}

@ARTICLE{bilaniuk69:_partic_beyon_light_barrier,
  author = {O-M. Bilaniuk and E.C. George Sudarshan},
  title = {Particles Beyond the Light Barrier},
  journal = {Physics Today},
  year = {1969},
  volume = {22},
  pages = {43-52},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Bina2012,
  author = {Bahareh Bina and Oliver Schulte and Branden Crawford and Zhensong
	Qian and Yi Xiong},
  title = {Simple decision forests for multi-relational classification},
  journal = {Decision Support Systems},
  year = {2013},
  volume = {54},
  pages = {1269?1279},
  number = {0},
  doi = {10.1016/j.dss.2012.11.017},
  issn = {0167-9236},
  keywords = {Link-based classification},
  url = {http://www.sciencedirect.com/science/article/pii/S0167923612003491}
}

@INPROCEEDINGS{Bina09,
  author = {Bahareh Bina and Oliver Schulte and Hassan Khosravi},
  title = {{LNBC}: A link-based Naive {B}ayes Classifier},
  booktitle = {MMIS09: Proceedings of the ICDM Third International Workshop on Mining
	Multiple Information Sources},
  year = {2009},
  owner = {bba18},
  timestamp = {2009.12.03}
}

@PROCEEDINGS{LNBC,
  title = {LNBC: A Link-Based Naive Bayes Classifier},
  year = {2009},
  address = {Washington, DC, USA},
  publisher = {IEEE Computer Society},
  author = {Bina, Bahareh and Schulte, Oliver and Khosravi, Hassan},
  booktitle = {ICDMW '09: Proceedings of the 2009 IEEE International Conference
	on Data Mining Workshops},
  doi = {http://dx.doi.org/10.1109/ICDMW.2009.116},
  isbn = {978-0-7695-3902-7},
  pages = {489--494}
}

@ARTICLE{Binder1997,
  author = {Binder, J. and Koller, D. and Russell, S. and Kanazawa, K.},
  title = {Adaptive probabilistic networks with hidden variables},
  journal = {Machine Learning},
  year = {1997},
  volume = {29},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Birkhoff1967,
  title = {Lattice theory},
  publisher = {American Mathematical Society},
  year = {1967},
  author = {Birkhoff, G.},
  number = {{XXV}},
  series = {American Mathematical Society Colloquium Publication},
  edition = {Third},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Bishop2006,
  title = {Pattern Recognition and Machine Learning},
  publisher = {Springer},
  year = {2006},
  author = {Christopher M. Bishop},
  file = {Bishop2006.pdf:Bishop2006.pdf:PDF},
  owner = {oschulte},
  timestamp = {2009.11.02}
}

@CONFERENCE{Blake1998,
  author = {C. Blake and C. Merze},
  title = {UCI Repository of machine learning databases},
  year = {1998}
}

@INPROCEEDINGS{Blanchard2007,
  author = {Gilles Blanchard and Francois Fleuret},
  title = {Occam's Hammer},
  booktitle = {Learning theory},
  year = {2007},
  editor = {Nader H. Bshouty and Claudio Gentile},
  volume = {4539},
  series = {LNAI},
  pages = {112--126},
  organization = {COLT},
  publisher = {Springer-Verlag Berlin Heidelberg},
  owner = {oliverschulte},
  timestamp = {2008.02.01}
}

@ARTICLE{Blau2001,
  author = {Blau,, H. and Immerman,, N. and Jensen,, D.},
  title = {A Visual Query Language for Relational Knowledge Discovery TITLE2:},
  year = {2001},
  address = {Amherst, MA, USA},
  owner = {hkhosrav},
  publisher = {University of Massachusetts},
  source = {http://www.ncstrl.org:8900/ncstrl/servlet/search?formname=detail\&id=oai%3Ancstrlh%3Aumass_cs%3Ancstrl.umassa_cs%2F%2FUM-CS-2001-028},
  timestamp = {2009.06.02}
}

@MANUAL{Blockeel2009,
  title = {The ACE Data Mining System: User's Manual},
  author = {Blockeel, H. and Dehaspe, L. and Ramon, J. and Struyf, J. and Van
	Assche, A. and Vens, C. and Fierens, D.},
  address = {http://dtai.cs.kuleuven.be/ACE/doc/ACEuser-1.2.16.pdf},
  year = {2009},
  owner = {bba18},
  timestamp = {2010.10.07}
}

@ARTICLE{Blockeel1998,
  author = {Hendrik Blockeel and Luc De Raedt},
  title = {Top-Down Induction of First-Order Logical Decision Trees},
  journal = {Artificial Intelligence},
  year = {1998},
  volume = {101},
  pages = {285-297},
  number = {1-2},
  owner = {hkhosrav},
  timestamp = {2009.08.11}
}

@ARTICLE{Blum1967,
  author = {Manuel Blum},
  title = {A Machine-Independent Theory of the Complexity of Recursive Functions},
  journal = {J. ACM},
  year = {1967},
  volume = {14},
  pages = {322--336},
  number = {2},
  doi = {http://doi.acm.org/10.1145/321386.321395},
  issn = {0004-5411},
  owner = {hkhosrav},
  publisher = {ACM Press},
  timestamp = {2008.10.08}
}

@ARTICLE{Blumer1989,
  author = {A. Blumer and A. Ehrenfeucht and D. Haussler and M. K. Warmuth},
  title = {Learnability and the Vapnik-Chervonenkis dimension},
  journal = {J. ACM},
  year = {1989},
  volume = {36},
  pages = {929--965},
  number = {4},
  doi = {http://doi.acm.org/10.1145/76359.76371},
  issn = {0004-5411},
  owner = {hkhosrav},
  publisher = {ACM Press},
  timestamp = {2008.10.08}
}

@PROCEEDINGS{Bockhorst04foil-d:efficiently,
  title = {FOIL-D: Efficiently scaling FOIL for multi-relational data mining
	of large datasets},
  year = {2004},
  author = {Joseph Bockhorst and Irene Ong},
  booktitle = {In Proceedings of the 14th international},
  pages = {63--79}
}

@INPROCEEDINGS{foilD,
  author = {Joseph Bockhorst and Irene Ong},
  title = {FOIL-D: Efficiently scaling FOIL for multi-relational data mining
	of large datasets},
  booktitle = {In Proceedings of the 14th international},
  year = {2004},
  pages = {63--79}
}

@ARTICLE{bib:phil-data,
  author = {James Bogen and James Woodward},
  title = {Saving the Phenomena},
  journal = {The Philosophical Review},
  year = {1988},
  volume = {97:3},
  pages = {303-352},
  owner = {oliverschulte},
  timestamp = {2008.12.30},
  url = {http://www.jstor.org/view/00318108/di981332/98p0264s/0}
}

@BOOK{bib:boolos,
  title = {Computability and Logic},
  publisher = {Cambridge University Press},
  year = {1974},
  author = {George Boolos and Richard Jeffrey},
  address = {Cambridge},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@PHDTHESIS{bouckaert95:_bayes,
  author = {R. Bouckaert},
  title = {{B}ayesian belief networks: from construction to inference},
  school = {U. Utrecht},
  year = {1995},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@MANUAL{bouckaert04:_bayes_networ_class_weka,
  title = {{B}ayesian Network Classifier in Weka},
  author = {R. R. Bouckaert},
  year = {2004},
  note = {Available at http://www.cs.waikato.ac.nz/~remco/weka_bn/},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{bib:boutilier,
  author = {C. Boutilier},
  title = {Iterated Revision and Minimal Change of Conditional Beliefs},
  journal = {Journal of Philosophical Logic},
  year = {1996},
  volume = {25},
  pages = {263-305},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Boutilier1999,
  author = {Craig Boutilier and Thomas L. Dean and Steve Hanks},
  title = {Decision-Theoretic Planning: Structural Assumptions and Computational
	Leverage},
  journal = {J. Artif. Intell. Res. (JAIR)},
  year = {1999},
  volume = {11},
  pages = {1-94},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1613/jair.575}
}

@INPROCEEDINGS{Boutilier1996,
  author = {Boutilier, C. and Friedman, N. and Goldszmidt, M. and Koller, D.},
  title = {Context-specific independence in Bayesian networks},
  booktitle = {UAI},
  year = {1996},
  pages = {115--123}
}

@INPROCEEDINGS{boz2002extracting,
  author = {Boz, Olcay},
  title = {Extracting decision trees from trained neural networks},
  booktitle = {Proceedings SIGKDD},
  year = {2002},
  pages = {456--461},
  organization = {ACM}
}

@ARTICLE{brachman-schmolze:kl-one,
  author = {Ronald~J. Brachman and James~G. Schmolze},
  title = {An overview of the {KL-ONE} knowledge representation system},
  journal = {Cognitive Science},
  year = {1985},
  volume = {9},
  pages = {171--216},
  number = {2},
  month = {April--June},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Brander2014,
  author = {Brander, James A. and Louisa, Yeung and J., Egan Edward},
  title = {Estimating the effects of age on NHL player performance},
  journal = {Journal of Quantitative Analysis in Sports},
  year = {2014},
  volume = {10},
  pages = {241?259},
  number = {2},
  abstract = {Using NHL data for the 1997?1998 through 2011?2012 seasons, we examine
	the effect of age on scoring performance and plus-minus for NHL skaters
	(non-goalies) and on save percentage for goaltenders. We emphasize
	fixed-effects regression methods that estimate a representative age-performance
	trajectory. We also use a method based on the best performances over
	time, a method based on the age distribution of NHL players, and
	a ?na?ve? specification that does not correct for selection bias.
	In addition we estimate individual age-performance relationships
	to obtain a distribution of peak ages. All methods provide similar
	results (with small but understandable differences) except the na?ve
	specification, which yields implausible results, indicating that
	correcting for selection bias is very important. Our best estimate
	of the scoring peak age is between 27 and 28 for forwards and between
	28 and 29 for defencemen. Both forwards and defencemen exhibit near-peak
	performance over a wide range, going from about 24 to 32 and 24 to
	34, respectively. Goaltenders display little systematic performance
	variation over most of the age range from the early 20s to late 30s.},
  file = {:Brander2014.pdf:PDF},
  owner = {Kurt},
  timestamp = {2014.11.07},
  url = {http://EconPapers.repec.org/RePEc:bpj:jqsprt:v:10:y:2014:i:2:p:19:n:6}
}

@BOOK{Bratko2001,
  title = {Prolog (3rd ed.): programming for artificial intelligence},
  publisher = {Addison-Wesley Longman Publishing Co., Inc.},
  year = {2001},
  author = {Bratko, Ivan},
  address = {Boston, MA, USA},
  isbn = {0-201-40375-7}
}

@MISC{brazma95pattern,
  author = {A. Brazma and D. Gilbert},
  title = {A Pattern Language for Molecular Biology},
  year = {1995},
  owner = {oliverschulte},
  text = {A. Brazma and D. Gilbert. A Pattern Language for Molecular Biology.
	Technical Report 11, Department of Computer Science, City University,
	London, 1995.},
  timestamp = {2008.12.30}
}

@BOOK{Breiman,
  title = {Classification and Regression Trees},
  year = {1984},
  author = {L. Breiman and H. Friedman and J.A. Olshen and C.J. Stone}
}

@BOOK{bib:non-monotone,
  title = {Nomonotonic Reasoning: an Overview},
  publisher = {Center for the Study of Language and Information},
  year = {1997},
  author = {G. Brewka and J. Dix and K. Konolige},
  address = {Stanford, CA},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{brockman2016openai,
  author = {Brockman, Greg and Cheung, Vicki and Pettersson, Ludwig and Schneider,
	Jonas and Schulman, John and Tang, Jie and Zaremba, Wojciech},
  title = {Open{AI} {G}ym},
  journal = {arXiv preprint arXiv:1606.01540},
  year = {2016}
}

@ARTICLE{Bromberg2009,
  author = {Facundo Bromberg and Dimitris Margaritis},
  title = {Improving the Reliability of Causal Discovery from Small Data Sets
	Using Argumentation},
  journal = {Journal of Machine Learning Research},
  year = {2009},
  volume = {10},
  pages = {301--340},
  file = {Bromberg2009.pdf:Bromberg2009.pdf:PDF},
  keywords = {{B}ayes Nets},
  owner = {oschulte},
  review = {tries to reconcile different results from independence tests (type
	II error) by using default reasoning},
  timestamp = {2009.03.05}
}

@INPROCEEDINGS{Bromberg2006,
  author = { F. Bromberg and D. Margaritis and V. Honavar},
  title = {Efficient Markov Network Structure Discovery from Independence Tests},
  booktitle = {Proceedings of The Sixth SIAM International Conference on Data Mining},
  year = {2006},
  pages = {141--152},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Brydon2008,
  author = {Michael Brydon and Andrew Gemino},
  title = {You've Data Mined. Now What?},
  journal = {The Communications of the Association for Information Systems},
  year = {2008},
  volume = {22},
  pages = {603-616},
  number = {33},
  owner = {oschulte},
  timestamp = {2012.08.30}
}

@ARTICLE{Bryson2014,
  author = {Bryson, Alex and Gomez, Rafael and Zhang, Tingting},
  title = {All-star or benchwarmer? Relative age, cohort size and career success
	in the NHL},
  year = {2014},
  file = {:Bryson2014.pdf:PDF},
  owner = {Kurt},
  publisher = {IZA Discussion Paper},
  timestamp = {2015.01.25}
}

@ARTICLE{bub94:_testin_model_cognit_throug_analy,
  author = { Bub, J.},
  title = {Testing Models of Cognition Through the Analysis of Brain-Damaged
	Performance},
  journal = {British Journal for the Philosophy of Science},
  year = {1994},
  volume = {45},
  pages = {837--855},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Buchanan2005,
  author = {A. M. Buchanan and Andrew W. Fitzgibbon},
  title = {Damped Newton Algorithms for Matrix Factorization with Missing Data},
  booktitle = {CVPR (2)},
  year = {2005},
  pages = {316-322},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1109/CVPR.2005.118},
  file = {:/Users/olivernew/Library/texmf/Buchanan2005.pdf:PDF},
  keywords = {statistical-relational, matrix factorization}
}

@INCOLLECTION{Buchanan1985,
  author = {Buchanan, Bruce},
  title = {Steps toward Mechanizing Discovery},
  booktitle = {Logic of Discovery and Diagnosis in Medicine},
  publisher = {Berkeley and Los Angeles, CA: University of California Press.},
  year = {1985},
  editor = {K.F. Schaffner},
  pages = {94-114},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Buchman2015,
  author = {Buchman, David and Poole, David},
  title = {Representing Aggregators in Relational Probabilistic Models.},
  booktitle = {AAAI},
  year = {2015},
  pages = {3489--3495}
}

@ARTICLE{Buchman2012,
  author = {David Buchman and Mark W. Schmidt and Shakir Mohamed and David Poole
	and Nando de Freitas=},
  title = {On Sparse, Spectral and Other Parameterizations of Binary Probabilistic
	Models},
  journal = {Journal of Machine Learning Research - Proceedings Track},
  year = {2012},
  volume = {22},
  pages = {173-181},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://jmlr.csail.mit.edu/proceedings/papers/v22/buchman12.html},
  file = {Buchman2012.pdf:Buchman2012.pdf:PDF}
}

@INPROCEEDINGS{buciluǎ2006model,
  author = {Buciluǎ, Cristian and Caruana, Rich and Niculescu-Mizil, Alexandru},
  title = {Model compression},
  booktitle = {Proceedings SIGKDD},
  year = {2006},
  pages = {535--541},
  organization = {ACM}
}

@INPROCEEDINGS{Burton2003,
  author = {Brian Burton},
  title = {{B}ayesian Spam Filtering Tweaks},
  booktitle = {Proceedings of the Spam Conference},
  year = {2003},
  note = {Available: \url{http://spamprobe.sourceforge.net/paper.html}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://spamprobe.sourceforge.net/paper.html}
}

@ARTICLE{Buttrey2011,
  author = {Buttrey, Samuel and Washburn, Alan and Price, Wilson},
  title = {Estimating NHL Scoring Rates},
  journal = {Journal of Quantitative Analysis in Sports},
  year = {2011},
  volume = {7},
  number = {3},
  part = {24},
  owner = {Kurt},
  timestamp = {2015.03.02}
}

@MASTERSTHESIS{Alexander2015,
  author = {Alexander C.Greene},
  title = {The Success of NBA Draft Picks: Can College Career Predict NBA Winners},
  school = {St. Cloud State University},
  year = {2015},
  timestamp = {2015.11}
}

@ARTICLE{Campos2006,
  author = {L. de Campos},
  title = {A scoring function for learning {B}ayesian networks based on mutual
	information and conditional independence tests},
  journal = {JMLR},
  year = {2006},
  pages = {2149--2187},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{campos06:_bayes,
  author = {L. M. de Campos },
  title = {A scoring function for learning {B}ayesian networks based on mutual
	information and conditional independence tests},
  journal = {Journal of Machine Learning Research},
  year = {2006},
  pages = {2149--2187},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Cansado2008a,
  author = {Cansado, Antonio and Soto, Alvaro},
  title = {Unsupervised anomaly detection in large databases using Bayesian
	networks},
  journal = {Applied Artifical Intelligence},
  year = {2008},
  volume = {22},
  pages = {309--330},
  number = {4},
  month = apr,
  acmid = {1451348},
  address = {Bristol, PA, USA},
  doi = {10.1080/08839510801972801},
  file = {:/local-scratch/SRiahi/Desktop/texmf/Cansado2009.pdf:PDF},
  issn = {0883-9514},
  issue_date = {April 2008},
  numpages = {22},
  publisher = {Taylor \& Francis, Inc.},
  url = {http://dx.doi.org/10.1080/08839510801972801}
}

@INCOLLECTION{Cantor1996,
  author = {Cantor, G.},
  title = {Grundlagen einer allgemeinen {M}annigfaltigkeitslehre},
  booktitle = {From Kant to Hilbert},
  publisher = {Oxford Science Publications},
  year = {1996},
  editor = {William Ewald},
  volume = {2},
  pages = {878-920},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Cantor1883,
  title = {Grundlagen einer allgemeinen Mannigfaligkeitslehere. Eine mathematisch-philosophischer
	Versuch in der Lehre des Unendlichen},
  publisher = {Teubner},
  year = {1883},
  author = {Cantor, Georg},
  address = {Leipzig},
  note = {Independent publication of the fifth in the series of six articles:
	`\"{U}ber unendliche, lineare Punktmannigfaltigkeiten', \emph{Mathematische
	Annalen} 1879--84; this article vol.21 (1883), pp. 545-586. Translation
	by William Ewald in Ewald (1996) pp. 878-920},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Carbonetto2005,
  author = {Peter Carbonetto and Jacek Kisynski and Nando de Freitas and David
	Poole},
  title = {Nonparametric Bayesian Logic},
  booktitle = {Proceedings of the Twenty-First Conference Annual Conference on Uncertainty
	in Artificial Intelligence (UAI-05)},
  year = {2005},
  pages = {85--93},
  address = {Arlington, Virginia},
  publisher = {AUAI Press}
}

@BOOK{carnap52:_contin_induc_method,
  title = {The Continuum of Inductive Methods},
  publisher = {University of Chicago Press},
  year = {1952},
  author = {Rudolf Carnap},
  address = {Chicago},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Carreras2001,
  author = {Xavier Carreras and Llu{\'{\i}}s M{\'a}rquez},
  title = {Boosting Trees for Anti-Spam Email Filtering},
  booktitle = {Proceedings of RANLP-2001, 4th International Conference on Recent
	Advances in Natural Language Processing},
  year = {2001},
  note = {Available: \url{http://www.lsi.upc.es/~carreras/pub/boospam.ps}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.lsi.upc.es/~carreras/pub/boospam.ps}
}

@ARTICLE{Case1983,
  author = {J. Case and C. Smith},
  title = {Comparison of Identification Criteria for Machine Inductive Inference},
  journal = {Theoretical Computer Science},
  year = {1983},
  volume = {25},
  pages = {193--220},
  annote = {Was in STOC78},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Casella2001,
  title = {Statistical Inference},
  publisher = {Duxbury Press},
  year = {2001},
  author = {G. Casella and R. L. Berger},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Casella1992,
  author = {Casella, George and George, Edward I. },
  title = {Explaining the Gibbs Sampler},
  journal = {The American Statistician},
  year = {1992},
  volume = {46},
  pages = {167--174},
  number = {3},
  abstract = {Computer-intensive algorithms, such as the Gibbs sampler, have become
	increasingly popular statistical tools, both in applied and theoretical
	work. The properties of such algorithms, however, may sometimes not
	be obvious. Here we give a simple explanation of how and why the
	Gibbs sampler works. We analytically establish its properties in
	a simple case and provide insight for more complicated cases. There
	are also a number of examples.},
  citeulike-article-id = {1270229},
  doi = {10.2307/2685208},
  keywords = {gibbs, sampling},
  owner = {hkhosrav},
  posted-at = {2008-08-03 13:33:31},
  priority = {2},
  timestamp = {2009.08.26},
  url = {http://dx.doi.org/10.2307/2685208}
}

@ARTICLE{Castelo2003,
  author = {R. Castelo and T. Kocka},
  title = {On inclusion-driven learning of bayesian networks},
  journal = {J. Mach. Learn. Res.},
  year = {2003},
  volume = {4},
  pages = {527--574},
  address = {Cambridge, MA, USA},
  issn

repository: sfu-cl-lab/our-papers

repo_name: sfu-cl-lab/our-papers