text:
= {1533-7928},
  owner = {hkhosrav},
  publisher = {MIT Press},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Castro:2010:UBP:2898607.2898777,
  author = {Castro, Pablo Samuel and Precup, Doina},
  title = {{Using Bisimulation for Policy Transfer in MDPs}},
  booktitle = {Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence},
  year = {2010},
  series = {AAAI'10},
  pages = {1065--1070},
  publisher = {AAAI Press},
  acmid = {2898777},
  location = {Atlanta, Georgia},
  numpages = {6},
  owner = {oschulte},
  timestamp = {2018.06.02},
  url = {http://dl.acm.org/citation.cfm?id=2898607.2898777}
}

@INPROCEEDINGS{Ceci2003,
  author = {Michelangelo Ceci and Annalisa Appice and Donato Malerba},
  title = {{Mr-SBC}: A Multi-relational Na\"{\i}ve {B}ayes Classifier},
  booktitle = {PKDD},
  year = {2003},
  volume = {2838},
  series = {LNAI},
  pages = {95-106},
  publisher = {Springer},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://springerlink.metapress.com/openurl.asp?genre=article{\&}issn=0302-9743{\&}volume=2838{\&}spage=95},
  file = {Ceci2003.pdf:Ceci2003.pdf:PDF},
  keywords = {statistical-relational},
  owner = {hkhosrav},
  timestamp = {2009.08.11}
}

@INPROCEEDINGS{Cervone2014a,
  author = {Cervone, Dan and D'Amour, Alexander and Bornn, Luke and Goldsberry,
	Kirk},
  title = {POINTWISE: Predicting points and valuing decisions in real time with
	{NBA} optical tracking data},
  booktitle = {8th Annual MIT Sloan Sports Analytics Conference, February},
  year = {2014},
  volume = {28},
  file = {:/Users/olivernew/Documents/svn-projects/punch-srl/texmf/Cervone2014a.pdf:PDF},
  keywords = {sports}
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@ARTICLE{cervone2016multiresolution,
  title={A multiresolution stochastic process model for predicting basketball possession outcomes},
  author={Cervone, Daniel and D’Amour, Alex and Bornn, Luke and Goldsberry, Kirk},
  journal={Journal of the American Statistical Association},
  volume={111},
  number={514},
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@ARTICLE{Chakrabarti2012,
  author = {Chakrabarti, Deepayan and Faloutsos, Christos},
  title = {Graph mining: laws, tools, and case studies},
  journal = {Synthesis Lectures on Data Mining and Knowledge Discovery},
  year = {2012},
  volume = {7},
  pages = {1--207},
  number = {1},
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  keywords = {statistical-relational},
  publisher = {Morgan \& Claypool Publishers}
}

@ARTICLE{Chan2004,
  author = {Chan, Antoni B and Vasconcelos, Nuno and Moreno, Pedro J},
  title = {A family of probabilistic kernels based on information divergence},
  journal = {Univ. California, San Diego, CA, Tech. Rep. SVCL-TR-2004-1},
  year = {2004}
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@ARTICLE{Chang2011,
  author = {Chang, Chih-Chung and Lin, Chih-Jen},
  title = {{LIBSVM 3.17}: A library for support vector machines},
  journal = {ACM Transactions on Intelligent Systems and Technology},
  year = {2011},
  volume = {2},
  pages = {1--27},
  number = {3},
  note = {Software available at \url{http://www.csie.ntu.edu.tw/~cjlin/libsvm}},
  owner = {kdr4},
  timestamp = {2014.01.17}
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@INPROCEEDINGS{partitionedLogistic,
  author = {Chang, Ming-wei and Yih, Wen-tau and Meek, Christopher},
  title = {Partitioned logistic regression for spam filtering},
  booktitle = {KDD '08: Proceeding of the 14th ACM SIGKDD international conference
	on Knowledge discovery and data mining},
  year = {2008},
  pages = {97--105},
  address = {New York, NY, USA},
  publisher = {ACM},
  doi = {http://doi.acm.org/10.1145/1401890.1401907},
  file = {:Z\:\\Subverrsion\\oschulte-texmf\\partitionedLogistic.pdf:PDF},
  isbn = {978-1-60558-193-4},
  location = {Las Vegas, Nevada, USA}
}

@ARTICLE{bib:chart,
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  journal = {British Journal for the Philosophy of Science},
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  pages = {147-149},
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@ARTICLE{chaudhuri1994piecewise,
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	Ruji},
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@ARTICLE{Chaudhuri1997,
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  journal = {SIGMOD Record},
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  pages = {65-74},
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  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://doi.acm.org/10.1145/248603.248616, db/journals/sigmod/ChaudhuriD97.html,
	http://www.acm.org/sigmod/record/issues/9703/chaudhuri.ps},
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  keywords = {digging}
}

@INPROCEEDINGS{Che2016,
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  booktitle = {AMIA Annual Symposium Proceedings},
  year = {2016},
  volume = {2016},
  pages = {371},
  organization = {AMIA}
}

@INPROCEEDINGS{che2016interpretable,
  author = {Che, Zhengping and others},
  title = {Interpretable deep models for {ICU} outcome prediction},
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  pages = {371},
  organization = {AMIA}
}

@ARTICLE{han2009,
  author = {Chen, Hailiang and Liu, Hongyan and Han, Jiawei and Yin, Xiaoxin},
  title = {Exploring Optimization of Semantic Relationship Graph for Multi-relational
	{B}ayesian Classification},
  journal = {Decision Support Systems},
  year = {2009},
  volume = {48},
  pages = {112-121},
  number = {1},
  keywords = {statistical-relational}
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@ARTICLE{Cheng2002,
  author = {J. Cheng and R. Greiner},
  title = {Learning {B}ayesian networks from data: An information-theory based
	approach},
  journal = {Artificial Intelligence},
  year = {2002},
  volume = {137},
  pages = {43-90},
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@INPROCEEDINGS{Cheng2001,
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  title = {Learning {B}ayesian Belief Network Classifiers: Algorithms and System},
  booktitle = {AI 2001},
  year = {2001},
  number = {2056},
  series = {LNAI},
  pages = {141-151},
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@CONFERENCE{Cherkauer,
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@ARTICLE{Chiang2012,
  author = {Michael Chiang and David Poole},
  title = {Reference classes and relational learning},
  journal = {Int. J. Approx. Reasoning},
  year = {2012},
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  pages = {326-346},
  number = {3},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1016/j.ijar.2011.05.002},
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}

@ARTICLE{Chickering2003,
  author = {D. Chickering},
  title = {Optimal structure identification with greedy search},
  journal = {Journal of Machine Learning Research},
  year = {2003},
  volume = {3},
  pages = {507--554},
  address = {Cambridge, MA, USA},
  issn = {1533-7928},
  owner = {hkhosrav},
  publisher = {MIT Press},
  timestamp = {2008.10.08}
}

@TECHREPORT{Chickering1994,
  author = {Chickering, D. M. and Geiger, D. and Heckerman, D.},
  title = {{L}earning {B}ayesian {N}etworks is {NP}-{H}ard},
  institution = {Microsoft Research},
  year = {1994},
  number = {MSR-TR-94-17},
  month = {November},
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}

@ARTICLE{Chickering2004,
  author = {D. M. Chickering and D. Heckerman and C. Meek},
  title = {Large-Sample Learning of {B}ayesian Networks is NP-Hard.},
  journal = {JMLR},
  year = {2004},
  volume = {5},
  pages = {1287-1330},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Chickering2002,
  author = {David Maxwell Chickering and Christopher Meek},
  title = {Finding Optimal {B}ayesian Networks.},
  booktitle = {UAI},
  year = {2002},
  pages = {94-102},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  file = {:Chickering2002:PDF},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Choi2015,
  author = {Choi, Arthur and Van den Broeck, Guy and Darwiche, Adnan},
  title = {Probability distributions over structured spaces},
  journal = {status: accepted},
  year = {2015}
}

@INPROCEEDINGS{context,
  author = {Myung Jin Choi and Lim, J.J. and Torralba, A. and Willsky, A.S.},
  title = {Exploiting hierarchical context on a large database of object categories},
  booktitle = {Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference
	on},
  year = {2010},
  pages = {129-136},
  month = {June},
  doi = {10.1109/CVPR.2010.5540221},
  file = {:/local-scratch/repository/newTexMF/texmf/context.pdf:PDF},
  issn = {1063-6919},
  keywords = {object detection;context model;database;hierarchical context;object
	category detection;scene understanding tasks;Computer vision;Context
	modeling;Detectors;Image databases;Image segmentation;Layout;Object
	detection;Spatial databases;Testing;Tree graphs}
}

@ARTICLE{Tree,
  author = {Myung Jin Choi and Antonio Torralba and Alan S. Willsky},
  title = {A Tree-Based Context Model for Object Recognition},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {2012},
  volume = {34},
  pages = {240-252},
  number = {2},
  address = {Los Alamitos, CA, USA},
  doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.119},
  file = {:/local-scratch/repository/newTexMF/texmf/Tree.pdf:PDF},
  issn = {0162-8828},
  publisher = {IEEE Computer Society}
}

@ARTICLE{bib:winslett,
  author = {T. Chou and M. Winslett},
  title = {A Model-Based Belief Revision System},
  journal = {Journal of Automated Reasoning},
  year = {1994},
  volume = {12},
  pages = {157-208},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Chu2008,
  author = {Tianjiao Chu and Clark Glymour},
  title = {Search for Additive Nonlinear Time Series Causal Models},
  journal = {Journal of Machine Learning Research},
  year = {2008},
  volume = {9},
  pages = {967--991},
  abstract = {Pointwise consistent, feasible procedures for estimating contemporaneous
	linear causal structure from time series data have been developed
	using multiple conditional independence tests, but no such procedures
	are available for non-linear systems. We describe a feasible procedure
	for learning a class of non-linear time series structures, which
	we call additive non-linear time series. We show that for data generated
	from stationary models of this type, two classes of conditional independence
	relations among time series variables and their lags can be tested
	efficiently and consistently using tests based on additive model
	regression. Combining results of statistical tests for these two
	classes of conditional independence relations and the temporal structure
	of time series data, a new consistent model specification procedure
	is able to extract relatively detailed causal information. We investigate
	the finite sample behavior of the procedure through simulation, and
	illustrate the application of this method through analysis of the
	possible causal connections among four ocean indices. Several variants
	of the procedure are also discussed.},
  bdsk-url-1 = {http://portal.acm.org/citation.cfm?id=1390713&jmp=cit&coll=GUIDE&dl=GUIDE&CFID=://www.google.ca/search?q=jmlr+glymour&CFTOKEN=www.google.ca/search?q=jmlr+glymour#},
  file = {Chu2008.pdf:Chu2008.pdf:PDF},
  keywords = {{B}ayes Nets, digging},
  url = {http://portal.acm.org/citation.cfm?id=1390713&jmp=cit&coll=GUIDE&dl=GUIDE&CFID=://www.google.ca/search?q=jmlr+glymour&CFTOKEN=www.google.ca/search?q=jmlr+glymour#}
}

@INPROCEEDINGS{Churchill2013,
  author = {Churchill, D. and Buro, M.},
  title = {Portfolio greedy search and simulation for large-scale combat in
	starcraft},
  booktitle = {IEEE Conference on Computational Intelligence in Games (CIG)},
  year = {2013},
  pages = {1-8},
  month = {Aug},
  doi = {10.1109/CIG.2013.6633643},
  file = {:Churchill2013.pdf:PDF},
  issn = {2325-4270},
  keywords = {computer games;greedy algorithms;multi-agent systems;search problems;Alpha-Beta;RTS
	AI system;StarCraft combat scenario;UCT algorithm;UCT search method;action
	space;artificial intelligence;commercial RTS game combat;durative
	actions;greedy search algorithm;hill climbing;human players;large-scale
	combat;playout-based evaluation;portfolio greedy search;portfolio
	simulation;real-time constraint;real-time search constraint;real-time
	strategy video games;simultaneous actions;state space;visualization;Approximation
	methods;Artificial intelligence;Games;Planning;Portfolios;Real-time
	systems;Weapons},
  owner = {Kurt},
  timestamp = {2015.01.05}
}

@INPROCEEDINGS{Clayton2004,
  author = {Richard Clayton},
  title = {Stopping Spam by Extrusion Detection},
  booktitle = {Proceedings of the First Conference on Email and Anti-Spam (CEAS)},
  year = {2004},
  note = {Available: \url{http://www.ceas.cc/papers-2004/172.pdf}},
  keywords = {TECHNICAL},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.ceas.cc/papers-2004/172.pdf}
}

@ARTICLE{Coates2008,
  author = {Dennis Coates and Babatunde Oguntimein},
  title = {The Length and Success of NBA Careers: Does College Production Predict
	Professional Outcomes?},
  journal = {International Journal of Sport Finance},
  year = {2008},
  volume = {5},
  number = {1}
}

@ARTICLE{Cochran2010,
  author = {Cochran, J. J.},
  title = {The emergence of sports analytics},
  journal = {Analytics},
  year = {2010},
  pages = {36--39},
  owner = {zqian},
  timestamp = {2015.04.15}
}

@ARTICLE{CohenFreue2007,
  author = {Cohen Freue, Gabriela V. and Hollander, Zsuzsanna and Shen, Enqing
	and Zamar, Ruben H. and Balshaw, Robert and Scherer, Andreas and
	McManus, Bruce and Keown, Paul and McMaster, W. Robert and Ng, Raymond
	T.},
  title = {MDQC: a new quality assessment method for microarrays based on quality
	control reports},
  journal = {Bioinformatics},
  year = {2007},
  volume = {23},
  pages = {3162-3169},
  number = {23},
  doi = {10.1093/bioinformatics/btm487}
}

@ARTICLE{Cohen1994,
  author = {Cohen, J.},
  title = {{The earth is round (p<. 05)}},
  journal = {American psychologist},
  year = {1994},
  volume = {49},
  pages = {997--1003},
  number = {12},
  file = {Cohen1994.pdf:Cohen1994.pdf:PDF}
}

@INPROCEEDINGS{nips01,
  author = {Cohn, David and Hofmann, Thomas},
  title = {The missing link - a probabilistic model of document content and
	hypertext connectivity},
  booktitle = {Neural Information Processing Systems 13},
  year = {2001},
  abstract = {We describe a joint probabilistic model for modeling the contents
	and inter-connectivity of document collections such as sets of web
	pages or research paper archives. The model is based on a probabilistic
	factor decomposition and allows identifying principal topics of the
	collection as well as authoritative documents within those topics.
	Furthermore, the relationships between topics is mapped out in order
	to build a predictive model of link content. Among the many applications
	of this approach...},
  citeulike-article-id = {330148},
  citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.6843},
  file = {:Z\:\\Subverrsion\\oschulte-texmf\\nips01.pdf:PDF},
  keywords = {link-content, topic-modeling},
  posted-at = {2008-12-31 17:19:49},
  priority = {2},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.6843}
}

@ARTICLE{ColemanBJ2012,
  author = {Coleman, B. J.},
  title = {Identifying the players in sports analytics research},
  journal = {Interfaces},
  year = {2012},
  volume = {42},
  pages = {109--118},
  number = {2},
  owner = {zqian},
  timestamp = {2015.04.15}
}

@INPROCEEDINGS{Comley2003,
  author = {Comley, Joshua W and Dowe, David L},
  title = {General Bayesian networks and asymmetric languages},
  booktitle = {Proc. 2nd Hawaii International Conference on Statistics and Related
	Fields},
  year = {2003},
  pages = {5--8},
  review = {See also google book http://books.google.ca/books?hl=en&lr=&id=xKgUV6T5G1IC&oi=fnd&pg=PA265&dq=Comley+Dowe&ots=VmATAHOzwf&sig=nskNulxmPOQViJ_SqVhIE56w9CA#v=onepage&q=Comley%20Dowe&f=false}
}

@ARTICLE{Constantinou:2012:PBN:2396898.2397020,
  author = {Constantinou, Anthony C. and Fenton, Norman E. and Neil, Martin},
  title = {pi-football: A Bayesian network model for forecasting Association
	Football match outcomes},
  journal = {Know.-Based Syst.},
  year = {2012},
  volume = {36},
  pages = {322--339},
  month = dec,
  acmid = {2397020},
  address = {Amsterdam, The Netherlands, The Netherlands},
  doi = {10.1016/j.knosys.2012.07.008},
  issn = {0950-7051},
  issue_date = {December, 2012},
  keywords = {Bayesian reasoning, Football betting, Football predictions, Soccer
	predictions, Subjective information},
  numpages = {18},
  publisher = {Elsevier Science Publishers B. V.},
  url = {http://dx.doi.org/10.1016/j.knosys.2012.07.008}
}

@INPROCEEDINGS{Cooper1995,
  author = {G. Cooper},
  title = {Causal discovery from data in the presence of selection bias},
  booktitle = {Proceedings of the Fifth International Workshop on Artificial Intelligence
	and Statistics},
  year = {1995},
  pages = {140--150},
  address = {Fort Lauderdale, FL},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
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@INPROCEEDINGS{Cooper1991,
  author = {G. F. Cooper and E. Herskovits},
  title = {A {B}ayesian method for constructing {B}ayesian belief networks from
	databases},
  booktitle = {UAI},
  year = {1991},
  pages = {86-94},
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@BOOK{bib:cooper,
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@ARTICLE{Cortes2004,
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  title = {AUC optimization vs. error rate minimization},
  journal = {Advances in neural information processing systems},
  year = {2004},
  volume = {16},
  pages = {313--320},
  number = {16}
}

@ARTICLE{costa03a,
  author = {Costa, V\'{\i}tor Santos and Srinivasan, Ashwin and Camacho, Rui
	and Blockeel, Hendrik and Demoen, Bart and Janssens, Gerda and Struyf,
	Jan and Vandecasteele, Henk and Laer, Wim Van},
  title = {Query transformations for improving the efficiency of ilp systems},
  journal = {J. Mach. Learn. Res.},
  year = {2003},
  volume = {4},
  pages = {465--491},
  issn = {1532-4435},
  publisher = {JMLR.org}
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@BOOK{bib:07intro,
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  year = {2007},
  author = {W.N. Cottingham and D.A. Greenwood},
  edition = {2nd},
  keywords = {particle physics},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Cowell2006,
  title = {Probabilistic networks and expert systems: Exact computational methods
	for Bayesian networks},
  publisher = {Springer Science \& Business Media},
  year = {2006},
  author = {Cowell, Robert G and Dawid, Philip and Lauritzen, Steffen L and Spiegelhalter,
	David J}
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@BOOK{Cowell2005,
  title = {Probabilistic Networks and Expert Systems},
  publisher = {Springer},
  year = {2005},
  author = {R. G. Cowell and S. L. Lauritzen and D. J. Spiegelhater},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
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@ARTICLE{Cranor1998,
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  title = {Spam!},
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  keywords = {GENERAL},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://lorrie.cranor.org/pubs/spam/spam.html}
}

@INPROCEEDINGS{craven1996extracting,
  author = {Craven, Mark and Shavlik, Jude W},
  title = {Extracting tree-structured representations of trained networks},
  booktitle = {Advances in neural information processing systems},
  year = {1996},
  pages = {24--30}
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@INPROCEEDINGS{Cruz-Ramirez2005,
  author = {N. Cruz-Ramirez and H. G. A. Mesa and E. B. Martinez and J. E. Rojas-Marcial
	and Luis Nava-Fernandez},
  title = {A Parsimonious Constraint-based Algorithm to Induce {B}ayesian Network
	Structures from Data},
  booktitle = {Sixth Mexican International Conference on Computer Science (ENC'05)},
  year = {2005},
  pages = {306-313},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Cunningham2003,
  author = {P{\'a}draig Cunningham and Niamh Nowlan and Sarah Jane Delany and
	Mads Haahr},
  title = {A Case-Based Approach to Spam Filtering that Can Track Concept Drift},
  booktitle = {The ICCBR'03 Workshop on Long-Lived CBR Systems},
  year = {2003},
  address = {Trondheim, Norway},
  month = {June},
  note = {Available: \url{http://www.cs.tcd.ie/publications/tech-reports/reports.03/TCD-CS-2003-16.pdf}},
  keywords = {COLLABORATIVE},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = { http://www.cs.tcd.ie/publications/tech-reports/reports.03/TCD-CS-2003-16.pdf}
}

@ARTICLE{Curran2007,
  author = {P. J Curran and D. J Bauer},
  title = {Building path diagrams for multilevel models},
  journal = {Psychological Methods},
  year = {2007},
  volume = {12},
  pages = {283},
  number = {3}
}

@ARTICLE{Cussens2012,
  author = {Cussens, James},
  title = {Online Bayesian inference for the parameters of PRISM programs},
  journal = {Machine learning},
  year = {2012},
  volume = {89},
  pages = {279--297},
  number = {3},
  publisher = {Springer}
}

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  pages = {1227--1241},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{earman92:_bayes_bust,
  title = {{B}ayes or Bust?},
  publisher = {MIT Press.},
  year = {1992},
  author = {Earman, J.},
  address = {Cambridge, Mass.},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Easley2011,
  title = {Networks, Crowds and Markets},
  publisher = {Cambridge University Press},
  year = {2011},
  author = {Easley, D. and Kleinberg, J.},
  file = {pre pub draft of book:/Users/oschulte/Documents/Papers/Easley2011.pdf:PDF},
  keywords = {game theory}
}

@INPROCEEDINGS{Eaton2007,
  author = {Daniel Eaton and Kevin Murphy},
  title = {{B}ayesian structure learning using dynamic programming and MCMC},
  booktitle = {Uncertainty in Artificial Intelligence (UAI)},
  year = {2007},
  file = {Eaton2007.pdf:Eaton2007.pdf:PDF},
  keywords = {{B}ayes Nets},
  owner = {oliverschulte},
  timestamp = {2008.02.04}
}

@ARTICLE{Edgeworth1908,
  author = {Edgeworth, F. Y.},
  title = {On the Probable Errors of Frequency-Constants (Contd.)},
  journal = {Journal of the Royal Statistical Society},
  year = {1908},
  volume = {71},
  pages = {499--512},
  number = {3},
  copyright = {Copyright ?????? 1908 Royal Statistical Society},
  issn = {09528385},
  jstor_articletype = {primary_article},
  jstor_formatteddate = {Sep., 1908},
  owner = {hkhosrav},
  publisher = {Blackwell Publishing for the Royal Statistical Society},
  timestamp = {2009.08.11},
  url = {http://www.jstor.org/stable/2339293}
}

@BOOK{bib:edwards,
  title = {Introduction to Graphical Modelling},
  publisher = {Springer, New York.},
  year = {2000},
  author = {D.M. Edwards},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@MISC{Eide2003,
  author = {Kristian Eide},
  title = {Winning the War on spam: {C}omparison of {B}ayesian spam filters},
  month = {August},
  year = {2003},
  note = {Available: \url{http://home.dataparty.no/kristian/reviews/bayesian/}},
  keywords = {BAYESIAN},
  owner = {oliverschulte},
  timestamp = {2008.12.30},
  url = {http://home.dataparty.no/kristian/reviews/bayesian/}
}

@ARTICLE{PDBook,
  author = {S. {Eidelman} and {Hayes}, K.G. and {Olive}, K.A. and {Aguilar-Benitez},
	M. and {Amsler}, C. and {Asner}, D. and {Babu}, K.S. and {Barnett},
	R.M. and {Beringer}, J. and {Burchat}, P.R. and {Carone}, C.D. and
	{Caso}, C. and {Conforto}, G. and {Dahl}, O. and {D'Ambrosio}, G.
	and {Doser}, M. and {Feng}, J.L. and {Gherghetta}, T. and {Gibbons},
	L. and {Goodman}, M. and {Grab}, C. and {Groom}, D.E. and {Gurtu},
	A. and {Hagiwara}, K. and {Hern\'andez-Rey}, J.J. and {Hikasa}, K.
	and {Honscheid}, K. and {Jawahery}, H. and {Kolda}, C. and {Kwon}
	Y. and {Mangano}, M.L. and {Manohar}, A.V. and {March-Russell}, J.
	and {Masoni}, A. and {Miquel}, R. and {M\"onig}, K. and {Murayama},
	H. and {Nakamura}, K. and {Navas}, S. and {Pape}, L. and {Patrignani},
	C. and {Piepke}, A. and {Raffelt}, G. and {Roos}, M. and {Tanabashi},
	M. and {Terning}, J. and {T\"ornqvist}, N.A. and {Trippe}, T.G. and
	{Vogel}, P. and {Wohl}, C.G. and {Workman}, R.L. and {Yao}, W.-M.
	and {Zyla}, P.A. and {Armstrong}, B. and {Gee}, P.S. and {Harper},
	G. and {Lugovsky}, K.S. and {Lugovsky}, S.B. and {Lugovsky}, V.S.
	and {Rom}, A. and {Artuso}, M. and {Barberio}, E. and {Battaglia},
	M. and {Bichsel}, H. and {Biebel}, O. and {Bloch}, P. and {Cahn},
	R.N. and {Casper}, D. and {Cattai}, A. and {Chivukula}, R.S. and
	{Cowan}, G. and {Damour}, T. and {Desler}, K. and {Dobbs}, M.A. and
	{Drees}, M. and {Edwards}, A. and {Edwards}, D.A. and {Elvira}, V.D.
	and {Erler}, J. and {Ezhela}, V.V. and {Fetscher}, W. and {Fields},
	B.D. and {Foster}, B. and {Froidevaux}, D. and {Fukugita}, M. and
	{Gaisser}, T.K. and {Garren}, L. and {Gerber}, H.-J. and {Gerbier},
	G. and {Gilman}, F.J. and {Haber}, H.E. and {Hagmann}, C. and {Hewett},
	J. and {Hinchliffe}, I. and {Hogan}, C.J. and {H\"ohler}, G. and
	{Igo-Kemenes}, P. and {Jackson}, J.D. and {Johnson}, K.F. and {Karlen},
	D. and {Kayser}, B. and {Kirkby}, D. and {Klein}, S.R. and {Kleinknecht},
	K. and {Knowles}, I.G. and {Kreitz}, P. and {Kuyanov}, Yu.V. and
	{Lahav}, O. and {Langacker}, P. and {Liddle}, A. and {Littenberg},
	L. and {Manley}, D.M. and {Martin}, A.D. and {Narain}, M. and {Nason},
	P. and {Nir}, Y. and {Peacock}, J.A. and {Quinn}, H.R. and {Raby},
	S. and {Ratcliff}, B.N. and {Razuvaev}, E.A. and {Renk}, B. and {Rolandi},
	G. and {Ronan}, M.T. and {Rosenberg}, L.J. and {Sachrajda}, C.T.
	and {Sakai}, Y. and {Sanda}, A.I. and {Sarkar}, S. and {Schmitt},
	M. and {Schneider}, O. and {Scott}, D. and {Seligman}, W.G. and {Shaevitz},
	M.H. and {Sj\"ostrand}, T. and {Smoot}, G.F. and {Spanier}, S. and
	{Spieler}, H. and {Spooner}, N.J.C. and {Srednicki}, M. and {Stahl},
	A. and {Stanev}, T. and {Suzuki}, M. and {Tkachenko}, N.P. and {Trilling},
	G.H. and {Valencia}, G. and {van Bibber}, K. and {Vincter}, M.G.
	and {Ward}, D. and {Webber}, B.R. and {Whalley}, M. and {Wolfenstein},
	L. and {Womersley}, J. and {Woody}, C.L. and {Zenin}, O.V. and {Zhu},
	R.-Y.},
  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}
}

@ARTICLE{Eidelman2004,
  author = {{Eidelman}, S. and {Hayes}, K.G. and {Olive}, K.A. and {Aguilar-Benitez},
	M. and {Amsler}, C. and {Asner}, D. and {Babu}, K.S. and {Barnett},
	R.M. and {Beringer}, J. and {Burchat}, P.R. and {Carone}, C.D. and
	{Caso}, C. and {Conforto}, G. and {Dahl}, O. and {D'Ambrosio}, G.
	and {Doser}, M. and {Feng}, J.L. and {Gherghetta}, T. and {Gibbons},
	L. and {Goodman}, M. and {Grab}, C. and {Groom}, D.E. and {Gurtu},
	A. and {Hagiwara}, K. and {Hern\'andez-Rey}, J.J. and {Hikasa}, K.
	and {Honscheid}, K. and {Jawahery}, H. and {Kolda}, C. and {Kwon}
	Y. and {Mangano}, M.L. and {Manohar}, A.V. and {March-Russell}, J.
	and {Masoni}, A. and {Miquel}, R. and {M\"onig}, K. and {Murayama},
	H. and {Nakamura}, K. and {Navas}, S. and {Pape}, L. and {Patrignani},
	C. and {Piepke}, A. and {Raffelt}, G. and {Roos}, M. and {Tanabashi},
	M. and {Terning}, J. and {T\"ornqvist}, N.A. and {Trippe}, T.G. and
	{Vogel}, P. and {Wohl}, C.G. and {Workman}, R.L. and {Yao}, W.-M.
	and {Zyla}, P.A. and {Armstrong}, B. and {Gee}, P.S. and {Harper},
	G. and {Lugovsky}, K.S. and {Lugovsky}, S.B. and {Lugovsky}, V.S.
	and {Rom}, A. and {Artuso}, M. and {Barberio}, E. and {Battaglia},
	M. and {Bichsel}, H. and {Biebel}, O. and {Bloch}, P. and {Cahn},
	R.N. and {Casper}, D. and {Cattai}, A. and {Chivukula}, R.S. and
	{Cowan}, G. and {Damour}, T. and {Desler}, K. and {Dobbs}, M.A. and
	{Drees}, M. and {Edwards}, A. and {Edwards}, D.A. and {Elvira}, V.D.
	and {Erler}, J. and {Ezhela}, V.V. and {Fetscher}, W. and {Fields},
	B.D. and {Foster}, B. and {Froidevaux}, D. and {Fukugita}, M. and
	{Gaisser}, T.K. and {Garren}, L. and {Gerber}, H.-J. and {Gerbier},
	G. and {Gilman}, F.J. and {Haber}, H.E. and {Hagmann}, C. and {Hewett},
	J. and {Hinchliffe}, I. and {Hogan}, C.J. and {H\"ohler}, G. and
	{Igo-Kemenes}, P. and {Jackson}, J.D. and {Johnson}, K.F. and {Karlen},
	D. and {Kayser}, B. and {Kirkby}, D. and {Klein}, S.R. and {Kleinknecht},
	K. and {Knowles}, I.G. and {Kreitz}, P. and {Kuyanov}, Yu.V. and
	{Lahav}, O. and {Langacker}, P. and {Liddle}, A. and {Littenberg},
	L. and {Manley}, D.M. and {Martin}, A.D. and {Narain}, M. and {Nason},
	P. and {Nir}, Y. and {Peacock}, J.A. and {Quinn}, H.R. and {Raby},
	S. and {Ratcliff}, B.N. and {Razuvaev}, E.A. and {Renk}, B. and {Rolandi},
	G. and {Ronan}, M.T. and {Rosenberg}, L.J. and {Sachrajda}, C.T.
	and {Sakai}, Y. and {Sanda}, A.I. and {Sarkar}, S. and {Schmitt},
	M. and {Schneider}, O. and {Scott}, D. and {Seligman}, W.G. and {Shaevitz},
	M.H. and {Sj\"ostrand}, T. and {Smoot}, G.F. and {Spanier}, S. and
	{Spieler}, H. and {Spooner}, N.J.C. and {Srednicki}, M. and {Stahl},
	A. and {Stanev}, T. and {Suzuki}, M. and {Tkachenko}, N.P. and {Trilling},
	G.H. and {Valencia}, G. and {van Bibber}, K. and {Vincter}, M.G.
	and {Ward}, D. and {Webber}, B.R. and {Whalley}, M. and {Wolfenstein},
	L. and {Womersley}, J. and {Woody}, C.L. and {Zenin}, O.V. and {Zhu},
	R.-Y.},
  title = {{Review of Particle Physics}},
  journal = {{Physics Letters B}},
  year = {2004},
  volume = {592},
  pages = {1+},
  owner = {oliverschulte},
  timestamp = {2008.12.30},
  url = {http://pdg.lbl.gov}
}

@ARTICLE{Eiter1993,
  author = {Thomas Eiter and Georg Gottlob},
  title = {Propositional Circumscription and Extended Closed World Reasoning
	are $\Pi^P_2$-complete},
  journal = {Theoretical Computer Science},
  year = {1993},
  volume = {114},
  pages = {231--245},
  owner = {hkhosrav},
  timestamp = {2009.08.26}
}

@UNPUBLISHED{elliott04:_doubl_beta_decay,
  author = {Elliott, S.R. and Engel, J.},
  title = {Double Beta Decay},
  note = {Preprint at http://arxiv.org/abs/hep-ph/0405078},
  year = {2004},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@BOOK{Engelking1989,
  title = {General Topology},
  publisher = {Heldermann},
  year = {1989},
  author = {R. Engelking},
  volume = {6},
  series = {Sigma Series in Pure Mathematics},
  address = {Berlin},
  edition = {Revised and completed},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Erlebach1997,
  author = {T. Erlebach and P. Rossmanith and H. Stadtherr and A. Steger and
	T. Zeugmann},
  title = {Learning One-Variable Pattern Languages Very Efficiently on Average,
	in Parallel, and by Asking Queries},
  booktitle = {Proceedings of ALT 1997},
  year = {1997},
  pages = {260--276},
  publisher = {Springer-Verlag},
  isbn = {3-540-63577-7},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Espindola2005,
  author = {Esp{\'\i}ndola, RP and Ebecken, NFF},
  title = {On extending F-measure and G-mean metrics to multi-class problems},
  journal = {Data mining VI: Data mining, text mining and their business applications},
  year = {2005},
  volume = {35},
  pages = {25-34}
}

@BOOK{Evans2004,
  title = {Probability and Statistics: The Science of Uncertainty},
  publisher = {W. H. Freeman and Company},
  year = {2004},
  author = {M. J. Evans and J. S. Rosenthal},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Fahlman2002,
  author = {{S. E.} Fahlman},
  title = {Selling Interrupt Rights: A Way to Control Unwanted Email and Telephone
	Calls},
  journal = {IBM Systems Journal},
  year = {2002},
  volume = {41},
  pages = {759--766},
  number = {4},
  note = {Available: \url{http://www.research.ibm.com/journal/sj/414/forum.pdf}},
  keywords = {POSTAGE},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.research.ibm.com/journal/sj/414/forum.pdf}
}

@INPROCEEDINGS{FatemehRiahi2013,
  author = {Fatemeh Riahi, Oliver Schulte, Qing Li},
  title = {Identifying Important Nodes in Heterogeneous Networks},
  booktitle = {IJCAI-HINA Workshop on Heterogeneous Information Network Analysis},
  year = {2013},
  file = {:/local-scratch/SRiahi/texmf/FatemehRiahi2013.pdf:PDF},
  owner = {sriahi},
  timestamp = {2013.08.20}
}

@ARTICLE{Fawcett2006,
  author = {Fawcett, T.},
  title = {{An introduction to ROC analysis}},
  journal = {Pattern recognition letters},
  year = {2006},
  volume = {27},
  pages = {861--874},
  number = {8},
  file = {Fawcett2006.pdf:Fawcett2006.pdf:PDF},
  publisher = {Elsevier}
}

@TECHREPORT{ROC2004,
  author = {Fawcett, T.},
  title = {ROC Graphs: Notes and Practical Considerations for Researchers},
  institution = {HP Laboratories},
  year = {2004},
  file = {ROC2004.pdf:ROC2004.pdf:PDF},
  keywords = {classication, classier evaluation, ROC, visualization},
  owner = {zqian},
  timestamp = {2012.10.03},
  url = {binf.gmu.edu/mmasso/ROC101.pdf}
}

@ARTICLE{Fawcett2003,
  author = {Tom Fawcett},
  title = {'In Vivo' Spam Filtering: A Challenge Problem for Data Mining},
  journal = {KDD Explorations},
  year = {2003},
  volume = {5},
  number = {2},
  month = {December},
  note = {Available: \url{http://www.hpl.hp.com/personal/Tom_Fawcett/papers/spam-KDDexp.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.hpl.hp.com/personal/Tom_Fawcett/papers/spam-KDDexp.pdf}
}

@ARTICLE{Feltz1998,
  author = {Feltz, Deborah L. and Lirgg, Cathy D.},
  title = {Perceived Team and Player Efficacy in Hockey},
  journal = {Journal of Applied Psychology},
  year = {1998},
  volume = {83},
  pages = {557 - 564},
  number = {4},
  abstract = {This study was designed to examine both the pattern of team and player
	efficacy across a season of competition and the relationships among
	player efficacy, team efficacy, and team performance in collegiate
	ice hockey. The team and player efficacies of hockey players from
	6 teams in a midwestern collegiate hockey league were assessed prior
	to 32 games. Official game statistics were factor analyzed to produce
	one useable performance measure, performance outcome. A consensus
	analysis demonstrated that players held homogeneous beliefs regarding
	their own and their teams' abilities to perform successfully. A meta-analysis
	of the regression equations for each team confirmed the homogeneity
	among teams and the predictive superiority of team efficacy in predicting
	team performance. Also, when team wins and losses were analyzed across
	the season, team efficacy significantly increased after a win and
	significantly decreased after a loss, but player efficacy was not
	affected.},
  keywords = {TEAMS in the workplace, COMPETITION, SELF-efficacy, HOCKEY, COLLEGE
	sports, COLLEGE students},
  owner = {Kurt},
  timestamp = {2013.12.02},
  url = {http://proxy.lib.sfu.ca/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=12129193&site=ehost-live}
}

@ARTICLE{Object_Detection_with_Discriminatively_Trained_PartBased_Models,
  author = {Felzenszwalb, P.F. and Girshick, R.B. and McAllester, D. and Ramanan,
	D.},
  title = {Object Detection with Discriminatively Trained Part-Based Models},
  journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
  year = {2010},
  volume = {32},
  pages = {1627-1645},
  number = {9},
  month = {Sept},
  doi = {10.1109/TPAMI.2009.167},
  file = {:/local-scratch/repository/newTexMF/texmf/Object_Detection_with_Discriminatively_Trained_PartBased_Models.pdf:PDF},
  issn = {0162-8828},
  keywords = {data mining;iterative methods;object detection;object recognition;support
	vector machines;PASCAL object detection;data mining;discriminative
	trained part-based models;iterative training algorithm;latent SVM
	objective function;margin-sensitive approach;multiscale deformable
	part models;object detection system;object recognition;support vector
	machine;Object recognition;deformable models;discriminative training;latent
	SVM.;pictorial structures;Algorithms;Artificial Intelligence;Discriminant
	Analysis;Image Enhancement;Image Interpretation, Computer-Assisted;Imaging,
	Three-Dimensional;Pattern Recognition, Automated;Reproducibility
	of Results;Sensitivity and Specificity}
}

@INPROCEEDINGS{Ferns:2014:BMO:3020751.3020774,
  author = {Ferns, Norm and Precup, Doina},
  title = {{Bisimulation Metrics Are Optimal Value Functions}},
  booktitle = {Proceedings of the Thirtieth Conference on Uncertainty in Artificial
	Intelligence},
  year = {2014},
  series = {UAI'14},
  pages = {210--219},
  address = {Arlington, Virginia, United States},
  publisher = {AUAI Press},
  acmid = {3020774},
  isbn = {978-0-9749039-1-0},
  location = {Quebec City, Quebec, Canada},
  numpages = {10},
  owner = {oschulte},
  timestamp = {2018.06.02},
  url = {http://dl.acm.org/citation.cfm?id=3020751.3020774}
}

@INPROCEEDINGS{Fetterly2004,
  author = {Dennis Fetterly and Mark Manasse and Marc Najork},
  title = {Spam, Damn Spam, and Statistics: Using Statistical Analysis to Locate
	Spam Web Pages},
  booktitle = {Proceedings of the 7th International Workshop on the Web and Databases},
  year = {2004},
  pages = {1--6},
  address = {Paris, France},
  month = {June},
  note = {Available: \url{http://research.microsoft.com/~najork/webdb2004.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://research.microsoft.com/~najork/webdb2004.pdf}
}

@BOOK{bib:feynman,
  title = {The Character of Physical Law},
  publisher = {MIT Press},
  year = {1965},
  author = {Richard Feynman},
  address = {Cambridge, Mass.},
  edition = {19; 1990},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Fieller,
  author = {E. C. Fieller and H. O. Hartley and E. S. Pearson},
  title = {Tests for Rank Correlation Coefficients. I},
  journal = {Biometrika},
  year = {1957},
  volume = {44},
  pages = {470-481}
}

@INPROCEEDINGS{Fierens2009,
  author = {Daan Fierens},
  title = {On the Relationship between Logical Bayesian Networks and Probabilistic
	Logic Programming Based on the Distribution Semantics},
  booktitle = {ILP},
  year = {2009},
  pages = {17-24},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1007/978-3-642-13840-9_3},
  file = {Fierens2009.pdf:Fierens2009.pdf:PDF},
  keywords = {statistical-relational}
}

@INBOOK{Fierens05,
  pages = {121--135},
  title = {Logical {B}ayesian Networks and Their Relation to Other Probabilistic
	Logical Models},
  year = {2005},
  author = {Daan Fierens and Hendrik Blockeel and Maurice Bruynooghe and Jan
	Ramon},
  abstract = {Logical {B}ayesian Networks {(LBNs)} have recently been introduced
	as another language for knowledge based model construction of {B}ayesian
	networks, besides existing languages such as Probabilistic Relational
	Models {(PRMs)} and {B}ayesian Logic Programs {(BLPs).} The original
	description of {LBNs} introduces them as a variant of {BLPs} and
	discusses the differences with {BLPs} but still leaves room for a
	deeper discussion of the relationship between {LBNs} and {BLPs.}
	Also the relationship to {PRMs} was not treated in much detail. In
	this paper, we first give a more compact and clear definition of
	{LBNs.} Next, we describe in more detail how {PRMs} and {BLPs} relate
	to {LBNs.} Like this we not only see what the advantages and disadvantages
	of {LBNs} are with respect to {PRMs} and {BLPs,} we also gain more
	insight into the relationships between {PRMs} and {BLPs.} Keywords:
	Probabilistic-logical models, {B}ayesian networks, knowledge representation,
	{B}ayesian Logic Programs, Probabilistic Relational Models.},
  booktitle = {Inductive Logic Programming},
  owner = {oliverschulte},
  timestamp = {2008.12.30},
  url = {http://dx.doi.org/10.1007/11536314_8}
}

@INPROCEEDINGS{Fierens2005,
  author = {Daan Fierens and Hendrik Blockeel and Maurice Bruynooghe and Jan
	Ramon},
  title = {Logical Bayesian Networks and Their Relation to Other Probabilistic
	Logical Models},
  booktitle = {ILP},
  year = {2005},
  pages = {121-135},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1007/11536314_8}
}

@ARTICLE{Fierens2010,
  author = {Daan Fierens and Jan Ramon and Hendrik Blockeel and Maurice Bruynooghe},
  title = {A comparison of pruning criteria for probability trees},
  journal = {Machine Learning},
  year = {2010},
  volume = {78},
  pages = {251-285},
  number = {1-2},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://springerlink.metapress.com/content/q7q7147613whu4v1/},
  file = {Fierens2010.pdf:Fierens2010.pdf:PDF}
}

@ARTICLE{Fierens2008,
  author = {Daan Fierens and Jan Ramon and Maurice Bruynooghe and Hendrik Blockeel},
  title = {Learning directed probabilistic logical models: ordering-search versus
	structure-search},
  journal = {Ann. Math. Artif. Intell.},
  year = {2008},
  volume = {54},
  pages = {99-133},
  number = {1-3},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://dx.doi.org/10.1007/s10472-009-9134-9},
  keywords = {statistical-relational},
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  timestamp = {2008.12.30}
}

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  timestamp = {2008.10.08},
  url = {http://www.ceas.cc/papers-2004/177.pdf}
}

@ARTICLE{Gold1967,
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}

@BOOK{bib:goldman,
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  author = {Alvin Goldman},
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  timestamp = {2008.12.30}
}

@ARTICLE{Goldman1995,
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@ARTICLE{Goldner2012,
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}

@ARTICLE{Good1970,
  author = {I. J. Good and T. N. Gover and G. J. Mitchell},
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@BOOK{Goodfellow-et-al-2016,
  title = {Deep Learning},
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license_type: permissive

branch_name: refs/heads/master

extension: bib