text:
1},
  pages = {57--66},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Vald'es-P'erez1996,
  author = {Ra{\'u}l Vald{\'e}s-P{\'e}rez},
  title = {On the justification of multiple selection rules of conservation
	in particle physics phenomenology},
  journal = {Computer Physics Communications},
  year = {1996},
  volume = {94},
  pages = {25-30},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{bib:raul-chemistry,
  author = {Ra{\'u}l Vald{\'e}s-P{\'e}rez},
  title = {Conjecturing hidden entities by means of simplicity and conservation
	laws: machine discovery in chemistry},
  journal = {Artificial Intelligence},
  year = {1994},
  volume = {65},
  pages = {247--280},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Vald'es-P'erez1994a,
  author = {Ra{\'u}l Vald{\'e}s-P{\'e}rez},
  title = {Algebraic Reasoning About Reactions: Discovery of Conserved Properties
	in Particle Physics},
  journal = {Machine Learning},
  year = {1994},
  volume = {17},
  pages = {47--67},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{bib:raul-matrix,
  author = {Ra{\'u}l Vald{\'e}s-P{\'e}rez and Jan M. \.{Z}ytkow and Herbert A.
	Simon},
  title = {Scientific Model-Building as Search in Matrix Spaces},
  booktitle = {Proceedings of 11th National Conference on Artificial Intelligence
	(AAAI)},
  year = {1993},
  pages = {472--478},
  address = {Washington, D.C.},
  publisher = {AAAI Press/MIT Press},
  keywords = {particle physics, linear algebra, raul},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Vald'es-P'erez1994,
  author = {Ra{\'u}l Vald{\'e}s-P{\'e}rez and Michael Erdmann},
  title = {Systematic Induction and Parsimony of Phenomenological Conservation
	Laws},
  journal = {Computer Physics Communications},
  year = {1994},
  volume = {83},
  pages = {171-180},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{bib:raul-bio,
  author = {Ra{\'u}l Vald{\'e}s-P{\'e}rez and C. Stone},
  title = {Systematic Detection of Subtle Spatio-Temporal Patterns in Time-Lapse
	Imaging. II. Particle Migrations.},
  journal = {Bioimaging},
  year = {1998},
  volume = {6(2)},
  pages = {71--78},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{valdes-perez96:_system_gener_const_model_partic_famil,
  author = {Vald{\'e}s-P{\'e}rez, R.E. and Zytkow, J.M.},
  title = {Systematic Generation of Constituent Models of Particle Families},
  journal = {Physical Review E},
  year = {1996},
  volume = {54},
  pages = {2102-2110 },
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{DBLP:conf/aaai/Valdes-PerezP97,
  author = {Ra{\'u}l E. Vald{\'e}s-P{\'e}rez and Vladimir Pericliev},
  title = {Maximally Parsimonious Discrimination: A Generic Task from Linguistic
	Discovery.},
  booktitle = {AAAI/IAAI},
  year = {1997},
  pages = {515-520},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{valiant86:_np,
  author = {L. Valiant and V. Vazirani},
  title = {{NP} is as easy as detecting unique solutions},
  journal = {TCS},
  year = {1986},
  volume = {47},
  pages = {85--93},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Valiant1984,
  author = {L. G. Valiant},
  title = {A theory of the learnable},
  booktitle = {Proceedings of the sixteenth annual ACM symposium on Theory of computing},
  year = {1984},
  pages = {436--445},
  publisher = {ACM Press},
  isbn = {0-89791-133-4},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Valiant1984a,
  author = {L. G. Valiant},
  title = {A theory of the learnable},
  journal = {Commun. ACM},
  year = {1984},
  volume = {27},
  pages = {1134--1142},
  number = {11},
  doi = {http://doi.acm.org/10.1145/1968.1972},
  issn = {0001-0782},
  owner = {hkhosrav},
  publisher = {ACM Press},
  timestamp = {2008.10.08}
}

@ARTICLE{Valiant1979,
  author = {Valiant, L. G. },
  title = {The complexity of computing the permanent},
  journal = {Theoretical Computer Science},
  year = {1979},
  volume = {8},
  pages = {189--201},
  number = {2},
  abstract = {It is shown that the permanent function of (0, 1)-matrices is a complete
	problem for the class of counting problems associated with nondeterministic
	polynomial time computations. Related counting problems are also
	considered. The reductions used are characterized by their nontrivial
	use of arithmetic.},
  citeulike-article-id = {949350},
  doi = {10.1016/0304-3975(79)90044-6},
  owner = {hkhosrav},
  posted-at = {2006-11-16 18:57:33},
  priority = {2},
  timestamp = {2009.08.26},
  url = {http://dx.doi.org/10.1016/0304-3975(79)90044-6}
}

@ARTICLE{C.Vens2004,
  author = {Van Assche, A. and Vens, C. and Blockeel, H. and D{\v{z}}eroski,
	S.},
  title = {First order random forests: Learning relational classifiers with
	complex aggregates},
  journal = {Machine Learning},
  year = {2006},
  volume = {64},
  pages = {149--182},
  number = {1},
  citeseerurl = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.61.7573&rep=rep1&type=pdf},
  doi = {10.1007/s10994-006-8713-9},
  file = {:/cs/oschulte/kdr4@oschulte/Subversion/texmf/VanAssche2006_First_Order_Random_Forests.pdf:PDF},
  keywords = {Random Forest Aggregate Relational},
  publisher = {Springer}
}

@ARTICLE{VanHaaren2016,
  author = {Van Haaren, Jan and Van den Broeck, Guy and Meert, Wannes and Davis,
	Jesse},
  title = {Lifted generative learning of Markov logic networks},
  journal = {Machine Learning},
  year = {2016},
  volume = {103},
  pages = {27--55},
  number = {1}
}

@INPROCEEDINGS{Vardi1982,
  author = {Vardi, Moshe Y.},
  title = {The complexity of relational query languages (Extended Abstract)},
  booktitle = {STOC '82: Proceedings of the fourteenth annual ACM symposium on Theory
	of computing},
  year = {1982},
  pages = {137--146},
  address = {New York, NY, USA},
  publisher = {ACM},
  doi = {http://doi.acm.org/10.1145/800070.802186},
  isbn = {0-89791-070-2},
  keywords = {statistical-relational},
  location = {San Francisco, California, United States}
}

@INPROCEEDINGS{Velauthapillai1989,
  author = {Mahendran Velauthapillai},
  title = {Inductive inference with bounded number of mind changes},
  booktitle = {Proceedings of COLT 1989},
  year = {1989},
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  publisher = {Morgan Kaufmann Publishers Inc.},
  isbn = {1-55860-086-8},
  location = {Santa Cruz, California, United States},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Venugopal2015,
  author = {Deepak Venugopal and Somdeb Sarkhel and Vibhav Gogate},
  title = {Just Count the Satisfied Groundings: Scalable Local-Search and Sampling
	Based Inference in MLNs},
  booktitle = {Proceedings of the Twenty-Ninth {AAAI} Conference on Artificial Intelligence,
	January 25-30, 2015, Austin, Texas, {USA.}},
  year = {2015},
  pages = {3606--3612},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl = {http://dblp.uni-trier.de/rec/bib/conf/aaai/VenugopalSG15},
  timestamp = {Sun, 12 Apr 2015 15:18:08 +0200},
  url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/10030}
}

@INPROCEEDINGS{verma90:_equiv_synth_causal_model,
  author = {T. Verma and J. Pearl},
  title = {Equiv. and Synth. of Causal Models},
  booktitle = {UAI'90},
  year = {1990},
  pages = {220-227},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@INPROCEEDINGS{Verma1990,
  author = {T. S. Verma and J. Pearl},
  title = {Equivalence and Synthesis of Causal Models},
  booktitle = {Proceedings of the Sixth Conference on Uncertainty in Artificial
	Intelligence},
  year = {1990},
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  address = {Mountain View, CA},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{Verykios2004,
  author = {Vassilios S. Verykios and Elisa Bertino and Igor Nai Fovino and Loredana
	Parasiliti Provenza and Y{\"u}cel Saygin and Yannis Theodoridis},
  title = {State-of-the-art in privacy preserving data mining},
  journal = {SIGMOD Record},
  year = {2004},
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  pages = {50-57},
  number = {1},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://doi.acm.org/10.1145/974121.974131}
}

@MASTERSTHESIS{Vesper2007,
  author = {Vesper, Andrew},
  title = {What?s New in the New NHL? A Comparison of the Effect of Team Performance
	on the Probability of Winning and Goal Scoring Efficiency in the
	Pre- and Post-Lockout NHL},
  school = {University of Georgia},
  year = {2007},
  file = {:Vesper2007.pdf:PDF},
  owner = {Kurt},
  timestamp = {2014.12.24}
}

@BOOK{Archetypoid2017,
  title = {Archetypoid analysis for sports analytics},
  publisher = {Data Mining and Knowledge},
  year = {2017},
  author = {G. Vinué and Irene Epifanio},
  timestamp = {2017.06}
}

@ARTICLE{Vollman2010,
  author = {Robert Vollman},
  title = {Howe and Why: Ten Ways to Measure Defensive Contributions},
  journal = {Hockey Prospectus},
  year = {2010},
  owner = {Kurt},
  timestamp = {2013.12.03},
  url = {http://www.hockeyprospectus.com/article.php?articleid=480}
}

@ARTICLE{Voyer1998,
  author = {Voyer, D. and Wright, E. F.},
  title = {Predictors of performance in the National Hockey League},
  journal = {Journal of Sport Behavior},
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  volume = {21},
  pages = {456-473},
  number = {4},
  keywords = {NHL, performance, regression, goals},
  owner = {Kurt},
  timestamp = {2013.12.20}
}

@ARTICLE{Vuong1989,
  author = {Vuong, Quang H.},
  title = {Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses},
  journal = {Econometrica},
  year = {1989},
  volume = {57},
  pages = {307-333},
  number = {2},
  abstract = {In this paper, we develop a classical approach to model selection.
	Using the Kullback-Leibler Information Criterion to measure the closeness
	of a model to the truth, we propose simple likelihood-ratio based
	statistics for testing the null hypothesis that the competing models
	are equally close to the true data generating process against the
	alternative hypothesis that one model is closer. The tests are directional
	and are derived successively for the cases where the competing models
	are non-nested, overlapping, or nested and whether both, one, or
	neither is misspecified. As a prerequisite, we fully characterize
	the asymptotic distribution of the likelihood ratio statistic under
	the most general conditions. We show that it is a weighted sum of
	chi-square distribution or a normal distribution depending on whether
	the distributions in the competing models closest to the truth are
	observationally identical. We also propose a test of this latter
	condition.},
  copyright = {Copyright 1989 The Econometric Society},
  file = {Vuong1989.pdf:Vuong1989.pdf:PDF},
  issn = {00129682},
  jstor_articletype = {research-article},
  jstor_formatteddate = {Mar., 1989},
  language = {English},
  publisher = {The Econometric Society},
  url = {http://www.jstor.org/stable/1912557}
}

@TECHREPORT{PCS,
  author = {Josh W},
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  year = {2015},
  timestamp = {2015.05.26},
  url = {https://canucksarmy.com/2015/05/26/draft-analytics-unveiling-the-prospect-cohort-success-model/}
}

@INCOLLECTION{W.L.Harper2006,
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  title = {Scientific Method},
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  publisher = {McMillan},
  year = {2006},
  pages = {120--126},
  keywords = {oliver},
  owner = {oschulte},
  timestamp = {2009.01.15}
}

@INPROCEEDINGS{Wang_Sigmod_2011,
  author = {Daisy Zhe Wang and Michael J. Franklin and Minos N. Garofalakis and
	Joseph M. Hellerstein and Michael L. Wick},
  title = {Hybrid in-database inference for declarative information extraction},
  booktitle = {SIGMOD Conference},
  year = {2011},
  pages = {517-528},
  ee = {http://doi.acm.org/10.1145/1989323.1989378},
  owner = {zqian},
  review = {in-database implementations of a wide variety of inference algorithms
	(PostgreSQL)},
  timestamp = {2013.11.25}
}

@INPROCEEDINGS{Wang2008,
  author = {Wang, Daisy Zhe and Michelakis, Eirinaios and Garofalakis, Minos
	and Hellerstein, Joseph M},
  title = {BayesStore: managing large, uncertain data repositories with probabilistic
	graphical models},
  booktitle = {Proceedings VLDB},
  year = {2008},
  pages = {340--351},
  publisher = {VLDB Endowment},
  file = {Wang2008.pdf:Wang2008.pdf:PDF},
  keywords = {statistical-relational}
}

@INPROCEEDINGS{Wang2018,
  author = {Jiaxuan Wang

	and

	and Ian Fox

	and Jonathan Skaza and Nick Linck and Satinder Singh and Jenna

	Wiens},
  title = {The Advantage of Doubling: A Deep Reinforcement Learning

	Approach to Studying the Double Team in the {NBA}},
  booktitle = {MIT Sloan Sports Analytics Conference},
  year = {2018},
  owner = {oschulte},
  timestamp = {2018.06.02}
}

@INPROCEEDINGS{Wang2001,
  author = {Yitong Wang and Masaru Kitsuregawa},
  title = {Link Based Clustering of Web Search Results},
  booktitle = {Lecture Notes in Computer Science},
  year = {2001},
  pages = {225--236},
  publisher = {Springer},
  owner = {hkhosrav},
  timestamp = {2009.08.26}
}

@ARTICLE{watkins1992q,
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  title = {Q-learning},
  journal = {Machine learning},
  year = {1992},
  volume = {8},
  pages = {279--292},
  number = {3-4},
  publisher = {Springer}
}

@INPROCEEDINGS{Watson2004,
  author = {Brett Watson},
  title = {Beyond Identity: Addressing Problems that Persist in an Electronic
	Mail System with Reliable Sender Identification},
  booktitle = {Proceedings of the First Conference on Email and Anti-Spam (CEAS)},
  year = {2004},
  note = {Available: \url{http://www.ceas.cc/papers-2004/140.pdf}},
  keywords = {TECHNICAL},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.ceas.cc/papers-2004/140.pdf}
}

@UNPUBLISHED{Weber2004,
  author = {Rebecca Weber},
  title = {A natural history of the Cantor-Bendixson derivative},
  note = {5th Annual Grad Student Conf. in Logic, Notre Dame.},
  year = {2004},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{bib:weinberg,
  title = {The Quantum Theory of Fields. Volume II: Modern Applications.},
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  year = {2001},
  author = {S. Weinberg},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@ARTICLE{Weiss2000,
  author = {Weiss, Yair},
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	with Loops},
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  issn = {0899-7667},
  owner = {hkhosrav},
  publisher = {MIT Press},
  timestamp = {2009.08.26}
}

@PHDTHESIS{Weissbock2014,
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  title = {Forecasting Success in the National Hockey League using In-Game Statistics
	and Textual Data},
  school = {University of Ottawa},
  year = {2014},
  file = {:Weissbock2014.pdf:PDF},
  owner = {Kurt},
  timestamp = {2014.11.07},
  url = {http://hdl.handle.net/10393/31553}
}

@INCOLLECTION{Weissbock2014b,
  author = {Weissbock, Josh and Inkpen, Diana},
  title = {Combining Textual Pre-game Reports and Statistical Data for Predicting
	Success in the National Hockey League},
  booktitle = {Advances in Artificial Intelligence},
  publisher = {Springer},
  year = {2014},
  pages = {251--262},
  file = {:Weissbock2014.pdf:PDF},
  owner = {Kurt},
  timestamp = {2014.08.28}
}

@ARTICLE{Wellman1992,
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  volume = {7},
  pages = {35--53},
  keywords = {statistical-relational},
  owner = {bba18},
  timestamp = {2009.11.24}
}

@BOOK{Wexler1980,
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  author = {K. Wexler and P. Cullicover},
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  owner = {hkhosrav},
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}

@INPROCEEDINGS{Wick_VLDB_2010,
  author = {Michael L. Wick and Andrew McCallum and Gerome Miklau},
  title = {Scalable Probabilistic Databases with Factor Graphs and MCMC},
  year = {2010},
  volume = {3},
  number = {1},
  pages = {794-804},
  journal = {PVLDB},
  owner = {zqian},
  review = {probabilistic databases, graphical modes with mcmc sampling},
  timestamp = {2013.11.25}
}

@INCOLLECTION{Wicker2010,
  author = {Wicker, J{\"o}rg and Richter, Lothar and Kramer, Stefan},
  title = {{SINDBAD} and {SiQL}: Overview, Applications and Future Developments},
  booktitle = {Inductive Databases and Constraint-Based Data Mining},
  publisher = {Springer New York},
  year = {2010},
  editor = {D{\v{z}}eroski, Sa{\v{s}}o and Goethals, Bart and Panov, Pan{\v{c}}e},
  pages = {289-309},
  abstract = {The chapter gives an overview of the current state of the Sindbad
	system and planned extensions. Following an introduction to the system
	and its query language SiQL, we present application scenarios from
	the areas of gene expression/regulation and small molecules. Next,
	we describe a web service interface to Sindbad that enables new possibilities
	for inductive databases (distributing tasks over multiple servers,
	language and platform independence, ?). Finally, we discuss future
	plans for the system, in particular, to make the system more ?declarative?
	by the use of signatures, to integrate the useful concept of mining
	views into the system, and to support specific pattern domains like
	graphs and strings.},
  doi = {10.1007/978-1-4419-7738-0_12},
  isbn = {978-1-4419-7737-3},
  keywords = {book,selected},
  language = {English},
  url = {http://dx.doi.org/10.1007/978-1-4419-7738-0_12}
}

@BOOK{Willard1970,
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  author = {Stephen Willard},
  month = {June},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@BOOK{Williams2001,
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  publisher = {Cambridge : Cambridge University Press},
  year = {2001},
  author = {David Williams},
  owner = {oschulte},
  timestamp = {2016.03.24}
}

@BOOK{bib:williams,
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  publisher = {Oxford University Press},
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  author = {William S.C. Williams},
  address = {New York},
  owner = {oliverschulte},
  timestamp = {2008.12.30}
}

@MASTERSTHESIS{Wilson2016,
  author = {David Wilson},
  title = {Mining NHL Draft Data and A New Value Pick Chart},
  school = {University of Ottawa},
  year = {2016},
  timestamp = {2016.05}
}

@MISC{Winkler1999,
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	record linkage. Modern record linkage begins with the pioneering
	work of Newcombe and is especially based on the formal mathematical
	model of Fellegi and Sunter. In their seminal work, Fellegi and Sunter
	introduced many powerful ideas for estimating record linkage parameters
	and other ideas that still influence record linkage today. Record
	linkage research is characterized by its synergism of statistics,
	computer science, and...},
  citeulike-article-id = {1837261},
  keywords = {linkage, methodology, record, statistics},
  owner = {hkhosrav},
  posted-at = {2007-11-20 20:25:46},
  priority = {2},
  timestamp = {2009.08.26},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.4336}
}

@INPROCEEDINGS{Wittel2004,
  author = {Gregory L. Wittel and S. Felix Wu},
  title = {On Attacking Statistical Spam Filters},
  booktitle = {Proceedings of the First Conference on Email and Anti-Spam (CEAS)},
  year = {2004},
  note = {Available: \url{http://www.ceas.cc/papers-2004/170.pdf}},
  keywords = {BAYESIAN},
  owner = {hkhosrav},
  timestamp = {2008.10.08},
  url = {http://www.ceas.cc/papers-2004/170.pdf}
}

@BOOK{Witten2005,
  title = {Data Mining: Practical Machine Learning Tools and Techniques},
  publisher = {Morgan Kaufmann},
  year = {2005},
  author = {I. H. Witten and E. Frank},
  edition = {2},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@ARTICLE{woergoetter2008reinforcement,
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  title = {Reinforcement learning},
  journal = {Scholarpedia},
  year = {2008},
  volume = {3},
  pages = {1448},
  number = {3}
}

@INPROCEEDINGS{Wong2006,
  author = {M. L. Wong and Y. Y. Guo},
  title = {Discover {B}ayesian Networks from Incomplete Data Using a Hybrid
	Evolutionary Algorithm},
  booktitle = {ICDM'06},
  year = {2006},
  pages = {1146--1150},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Wong2002,
  author = {M. L. Wong and S. Y. Lee and K. S. Leung},
  title = {A Hybrid Approach to Discover {B}ayesian Networks From Databases
	Using Evolutionary Programming},
  booktitle = {ICDM'02},
  year = {2002},
  pages = {498},
  owner = {hkhosrav},
  timestamp = {2008.10.08}
}

@INPROCEEDINGS{Wong1995,
  author = {Wong, SK Michael and Butz, Cory J and Xiang, Yang},
  title = {A method for implementing a probabilistic model as a relational database},
  booktitle = {UAI},
  year = {1995},
  pages = {556--564},
  owner = {zqian},
  timestamp = {2015.05.22}
}

@ARTICLE{Works96,
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  volume = {61},
  pages = {1049},
  number = {3},
  owner = {oliverschulte},
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@MISC{Fox,
  title = {Structural Equation Modeling With the SEM Package in R},
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  owner = {oschulte},
  publisher = {McMaster University},
  timestamp = {2009.01.07}
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@PROCEEDINGS{DBLP:conf/aaai/2010,
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@PROCEEDINGS{DBLP:conf/icml/2010,
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	(ICML-10), June 21-24, 2010, Haifa, Israel},
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@PROCEEDINGS{DBLP:conf/uai/1997,
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@PROCEEDINGS{starai2013,
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@PROCEEDINGS{DBLP:conf/uai/1996,
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@PROCEEDINGS{DBLP:conf/nips/2003,
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  year = {2004},
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@PROCEEDINGS{DBLP:conf/aaai/2005,
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@PROCEEDINGS{DBLP:conf/icmla/2009,
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@ELECTRONIC{alexa,
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@MISC{bib:aaai-code,
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@MISC{bib:crawler,
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@MISC{bib:l1general,
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@MISC{bib:opta-original,
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@MISC{SportMarketResearch,
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@inproceedings{decroos2018action,
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@article{kharrat2017plus,
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@article{schultze2018weighted,
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@inproceedings{brooks2016developing,
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@inproceedings{bransen2018measuring,
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@article{yurko2018nflwar,
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@ARTICLE{Konstantinos2019Regressioni,
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@inproceedings{gregor2015draw,
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@inproceedings{mehrasa2019variational,
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@inproceedings{AkbikBV18,
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@inproceedings{PetersNIGCLZ18,
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@book{kruschke2014doing,
  title={Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan},
  author={Kruschke, John},
  year={2014},
  publisher={Academic Press}
}

@article{Gelman06,
  author    = {Andrew Gelman},
  title     = {Multilevel (Hierarchical) Modeling: What It Can and Cannot Do},
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}

@article{davis2015simulator,
  title={A simulator for Twenty20 cricket},
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  number={1},
  pages={55--71},
  year={2015},
  publisher={Wiley Online Library}
}

@inproceedings{ganguly2018problem,
  title={The Problem with Win Probability},
  author={Ganguly, Sujoy and Frank, Nathan},
  booktitle={MIT Sloan Sports Analytics Conference},
  year={2018}
}

@book{Murphybook12,
  author    = {Kevin P. Murphy},
  title     = {Machine learning - a probabilistic perspective},
  series    = {Adaptive computation and machine learning series},
  publisher = {{MIT} Press},
  year      = {2012},
  isbn      = {0262018020},
  timestamp = {Wed, 26 Apr 2017 17:48:08 +0200}
}

@book{good2006resampling,
  title={Resampling methods},
  author={Good, Phillip I},
  year={2006},
  publisher={Springer}
}

@article{BleiKM16,
  author    = {David M. Blei and
               Alp Kucukelbir and
               Jon D. McAuliffe},
  title     = {Variational Inference: {A} Review for Statisticians},
  journal   = {CoRR},
  volume    = {abs/1601.00670},
  year      = {2016},
  url       = {http://arxiv.org/abs/1601.00670},
  archivePrefix = {arXiv},
  eprint    = {1601.00670},
  timestamp = {Mon, 13 Aug 2018 16:48:18 +0200},
}

@article{LaviRID2018,
  author    = {Bahram Lavi and
               Mehdi Fatan Serj and
               Ihsan Ullah},
  title     = {Survey on Deep Learning Techniques for Person Re-Identification Task},
  journal   = {CoRR},
  volume    = {abs/1807.05284},
  year      = {2018},
  url       = {http://arxiv.org/abs/1807.05284},
  archivePrefix = {arXiv},
  eprint    = {1807.05284},
  timestamp = {Mon, 13 Aug 2018 16:47:04 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1807-05284},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{Doersch16,
  author    = {Carl Doersch},
  title     = {Tutorial on Variational Autoencoders},
  journal   = {CoRR},
  volume    = {abs/1606.05908},
  year      = {2016}
}

@inproceedings{SohnLY15,
  author    = {Kihyuk Sohn and
               Honglak Lee and
               Xinchen Yan},
  title     = {Learning Structured Output Representation using Deep Conditional Generative Models},
  booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015,  Montreal, Quebec, Canada},
  pages     = {3483--3491},
  year      = {2015}
}

@inproceedings{WalkerDGH16,
  author    = {Jacob Walker and
               Carl Doersch and
               Abhinav Gupta and
               Martial Hebert},
  title     = {An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders},
  booktitle = {European Conference on Computer Vision, {ECCV}},
  pages     = {835--851},
  year      = {2016}
}

@inproceedings{KlushynCKCS19vae,
  author    = {Alexej Klushyn and
               Nutan Chen and
               Richard Kurle and
               Botond Cseke and
               Patrick van der Smagt},
  title     = {{Learning Hierarchical Priors in VAEs}},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  pages     = {2866--2875},
  year      = {2019}
}

@article{AlbrechtSurvey18,
  author    = {Stefano V. Albrecht and Peter Stone},
  title     = {Autonomous agents modelling other agents: {A} comprehensive survey and open problems},
  journal   = {Artificial Intelligence},
  volume    = {258},
  pages     = {66--95},
  year      = {2018}
}

@article{RubinPoker11,
  author    = {Jonathan Rubin and
               Ian D. Watson},
  title     = {Computer poker: {A} review},
  journal   = {Artificial Intelligence},
  volume    = {175},
  number    = {5-6},
  pages     = {958--987},
  year      = {2011}
}

@article{BakkesHehavior12,
  author    = {Sander C. J. Bakkes and
               Pieter H. M. Spronck and
               Giel van Lankveld},
  title     = {Player behavioural modelling for video games},
  journal   = {Entertainment Computing},
  volume    = {3},
  number    = {3},
  pages     = {71--79},
  year      = {2012}
}

@inproceedings{GroverRepresent18,
  author    = {Aditya Grover and
               Maruan Al{-}Shedivat and
               Jayesh K. Gupta and
               Yuri Burda and
               Harrison Edwards},
  title     = {Learning Policy Representations in Multiagent Systems},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning, {ICML}},
  pages     = {1797--1806},
  year      = {2018}
}

@inproceedings{WhitneyACG20,
  author    = {William Whitney and
               Rajat Agarwal and
               Kyunghyun Cho and
               Abhinav Gupta},
  title     = {Dynamics-Aware Embeddings},
  booktitle = {8th International Conference on Learning Representations, {ICLR}},
  year      = {2020}
}

@inproceedings{SonderbyLadderVAE16,
  author    = {Casper Kaae S{\o}nderby and
               Tapani Raiko and
               Lars Maal{\o}e and
               S{\o}ren Kaae S{\o}nderby and
               Ole Winther},
  title     = {Ladder Variational Autoencoders},
  booktitle = {Proceedings of the 30th Annual Conference on Neural Information Processing Systems, {NeurIPS}},
  pages     = {3738--3746},
  year      = {2016}
}

@article{maaten2008visualizing,
  title={Visualizing data using t-{SNE}},
  author={Maaten, Laurens van der and Hinton, Geoffrey},
  journal={Journal of Machine Learning Research, JMLR},
  volume={9},
  number={Nov},
  pages={2579--2605},
  year={2008}
}

@inproceedings{ChandakAction19,
  author    = {Yash Chandak and
               Georgios Theocharous and
               James Kostas and
               Scott M. Jordan and
               Philip S. Thomas},
  title     = {Learning Action Representations for Reinforcement Learning},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning, {ICML}},
  pages     = {941--950},
  year      = {2019},
}

@inproceedings{HausmanEmbedSkills18,
  author    = {Karol Hausman and
               Jost Tobias Springenberg and
               Ziyu Wang and
               Nicolas Heess and
               Martin A. Riedmiller},
  title     = {Learning an Embedding Space for Transferable Robot Skills},
  booktitle = {6th International Conference on Learning Representations, {ICLR}},
  year      = {2018}
}

@inproceedings{zintgraf2019variational,
  title={Variational Task Embeddings For Fast Adaption In Deep Reinforcement Learning},
  author={Zintgraf, Luisa and Igl, Maximilian and Shiarlis, Kyriacos and Mahajan, Anuj and Hofmann, Katja and Whiteson, Shimon},
  booktitle={International Conference on Learning Representations Workshop on Structure \& Priors in Reinforcement Learning},
  year={2019}
}

@inproceedings{HePosteriorCollapse19,
  author    = {Junxian He and
               Daniel Spokoyny and
               Graham Neubig and
               Taylor Berg{-}Kirkpatrick},
  title     = {Lagging Inference Networks and Posterior Collapse in Variational Autoencoders},
  booktitle = {7th International Conference on Learning Representations, {ICLR}},
  year      = {2019}
}

@inproceedings{ZhuBNVAE2020,
  author    = {Qile Zhu and
               Wei Bi and
               Xiaojiang Liu and
               Xiyao Ma and
               Xiaolin Li and
               Dapeng Wu},
  title     = {A Batch Normalized Inference Network Keeps the {KL} Vanishing Away},
  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, {ACL}},
  pages     = {2636--2649},
  year      = {2020}
}

@article{guenter2007reinforcement,
  title={Reinforcement learning for imitating constrained reaching movements},
  author={Guenter, Florent and Hersch, Micha and Calinon, Sylvain and Billard, Aude},
  journal={Advanced Robotics},
  volume={21},
  number={13},
  pages={1521--1544},
  year={2007},
  publisher={Taylor \& Francis}
}

@inproceedings{KoberP08policy,
  author    = {Jens Kober and
               Jan Peters},
  title     = {Policy Search for Motor Primitives in Robotics},
  booktitle = {Proceedings of the 22nd Annual Conference on Neural Information Processing Systems, {NeurIPS}},
  pages     = {849--856},
  year      = {2008}
}

@article{Kormushev13RLRobotics,
  author    = {Petar Kormushev and
               Sylvain Calinon and
               Darwin G. Caldwell},
  title     = {Reinforcement Learning in Robotics: Applications and Real-World Challenges},
  journal   = {Robotics},
  volume    = {2},
  number    = {3},
  pages     = {122--148},
  year      = {2013}
}

@article{Argall09lfd,
  author    = {Brenna D. Argall and
               Sonia Chernova and
               Manuela M. Veloso and
               Brett Browning},
  title     = {A survey of robot learning from demonstration},
  journal   = {Robotics and Autonomous Systems},
  volume    = {57},
  number    = {5},
  pages     = {469--483},
  year      = {2009},
}

@article{BengioRepresentation13,
  author    = {Yoshua Bengio and
               Aaron C. Courville and
               Pascal Vincent},
  title     = {Representation Learning: {A} Review and New Perspectives},
  journal   = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence, PAMI},
  volume    = {35},
  number    = {8},
  pages     = {1798--1828},
  year      = {2013}
}

@inproceedings{KimM18,
  author    = {Hyunjik Kim and
               Andriy Mnih},
  title     = {Disentangling by Factorising},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning, {ICML} },
  pages     = {2654--2663},
  year      = {2018}
}

@inproceedings{Zhan19basketballvrnn,
  author    = {Eric Zhan and
               Stephan Zheng and
               Yisong Yue and
               Long Sha and
               Patrick Lucey},
  title     = {Generating Multi-Agent Trajectories using Programmatic Weak Supervision},
  booktitle = {7th International Conference on Learning Representations, {ICLR}},
  year      = {2019},
}

@inproceedings{Sun19basketballvrnn,
  author    = {Chen Sun and
               Per Karlsson and
               Jiajun Wu and
               Joshua B. Tenenbaum and
               Kevin Murphy},
  title     = {Stochastic Prediction of Multi-Agent Interactions from Partial Observations},
  booktitle = {7th International Conference on Learning Representations, {ICLR}},
  year      = {2019}
}

@article{Gudmundsson17TeamSports,
  author    = {Joachim Gudmundsson and
               Michael Horton},
  title     = {Spatio-Temporal Analysis of Team Sports},
  journal   = {{ACM} Computing Surveys},
  volume    = {50},
  number    = {2},
  pages     = {1--34},
  year      = {2017}
}

@INCOLLECTION{Schumaker2010SportStats,
  author = {Schumaker, Robert P. and Solieman, Osama K. and Chen, Hsinchun},
  title = {Research in Sports Statistics},
  booktitle = {Sports Data Mining},
  publisher = {Springer US},
  year = {2010},
  volume = {26},
  pages = {29-44}
}

@inproceedings{He19GVAE,
  author    = {Jiawei He and
               Yu Gong and
               Joseph Marino and
               Greg Mori and
               Andreas M. Lehrmann},
  title     = {Variational Autoencoders with Jointly Optimized Latent Dependency
               Structure},
  booktitle = {7th International Conference on Learning Representations, {ICLR} 2019,
               New Orleans, LA, USA, May 6-9, 2019},
  year      = {2019}
}

@inproceedings{Higgins17BetaVAE,
  author    = {Irina Higgins and
               Lo{\"{\i}}c Matthey and
               Arka Pal and
               Christopher Burgess and
               Xavier Glorot and
               Matthew Botvinick and
               Shakir Mohamed and
               Alexander Lerchner},
  title     = {beta-{VAE}: Learning Basic Visual Concepts with a Constrained Variational Framework},
  booktitle = {5th International Conference on Learning Representations, {ICLR}},
  year      = {2017}
}

@article{Chen2019ActionEmbedding,
  author    = {Yu Chen and
               Yingfeng Chen and
               Yu Yang and
               Ying Li and
               Jianwei Yin and
               Changjie Fan},
  title     = {Learning Action-Transferable Policy with Action Embedding},
  journal   = {CoRR},
  volume    = {abs/1909.02291},
  year      = {2019}
}

@inproceedings{Arnekvist2019PolicyEmbedding,
  author    = {Isac Arnekvist and
               Danica Kragic and
               Johannes A. Stork},
  title     = {{VPE:} Variational Policy Embedding for Transfer Reinforcement Learning},
  booktitle = {International Conference on Robotics and Automation, {ICRA}},
  pages     = {36--42},
  year      = {2019}
}

@article{AlbrechtR16,
  author    = {Stefano V. Albrecht and
               Subramanian Ramamoorthy},
  title     = {Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks},
  journal   = {Journal of Artificial Intelligence Research},
  volume    = {55},
  pages     = {1135--1178},
  year      = {2016}
}

@article{bunker2019machine,
  title={A machine learning framework for sport result prediction},
  author={Bunker, Rory P and Thabtah, Fadi},
  journal={Applied Computing and Informatics},
  volume={15},
  number={1},
  pages={27--33},
  year={2019},
  publisher={Elsevier}
}

@inproceedings{Fraccaro2016SNN,
  author    = {Marco Fraccaro and
               S{\o}ren Kaae S{\o}nderby and
               Ulrich Paquet and
               Ole Winther},
  title     = {Sequential Neural Models with Stochastic Layers},
  booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems},
  pages     = {2199--2207},
  year      = {2016}
}

@inproceedings{RobertsERHE18,
  author    = {Adam Roberts and
               Jesse H. Engel and
               Colin Raffel and
               Curtis Hawthorne and
               Douglas Eck},
  title     = {A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning, {ICML}},
  pages     = {4361--4370},
  year      = {2018}
}

@inproceedings{Castrejon2019VRNNVideo,
  author    = {Llu{\'{\i}}s Castrej{\'{o}}n and
               Nicolas Ballas and
               Aaron C. Courville},
  title     = {Improved Conditional VRNNs for Video Prediction},
  booktitle = {{IEEE/CVF} International Conference on Computer Vision, {ICCV} },
  pages     = {7607--7616},
  publisher = {{IEEE}},
  year      = {2019}
}

@inproceedings{Sadeghian2019SoPhie,
  author    = {Amir Sadeghian and
               Vineet Kosaraju and
               Ali Sadeghian and
               Noriaki Hirose and
               Hamid Rezatofighi and
               Silvio Savarese},
  title     = {SoPhie: An Attentive {GAN} for Predicting Paths Compliant to Social and Physical Constraints},
  booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR}},
  pages     = {1349--1358},
  year      = {2019}
}

@inproceedings{Gupta18SocialGan,
  author    = {Agrim Gupta and
               Justin Johnson and
               Li Fei{-}Fei and
               Silvio Savarese and
               Alexandre Alahi},
  title     = {Social {GAN:} Socially Acceptable Trajectories With Generative Adversarial Networks},
  booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR}},
  pages     = {2255--2264},
  year      = {2018}
}

@article{Liu2020DeepSoccer,
  author    = {Guiliang Liu and
               Yudong Luo and
               Oliver Schulte and
               Tarak Kharrat},
  title     = {Deep soccer analytics: learning an action-value function for evaluating soccer players},
  journal   = {Data Mining and Knowledge Discovery},
  volume    = {34},
  number    = {5},
  pages     = {1531--1559},
  year      = {2020}
}

license_type: permissive

branch_name: refs/heads/master

extension: bib


text:
SUMMARY = "Qt platform theme plugin for apps integration with Liri "
LICENSE = "GPL-3.0"
LIC_FILES_CHKSUM = " \
	file://LICENSE.GPLv3;md5=d32239bcb673463ab874e80d47fae504 \
"

inherit liri

DEPENDS += " \
    qtquickcontrols2 \
    liri-qtgsettings \
"

PV = "1.0.0+git${SRCPV}"

SRCREV = "fa9bdf9f4efb494e3a5703f33c990013e4d5a99b"
S = "${WORKDIR}/git"

FILES_${PN} += " \
    ${OE_QMAKE_PATH_PLUGINS} \
"

license: MIT

branch_name: refs/heads/nilrt/master/hardknott

gha_license_id: MIT

gha_language: BitBake

extension: bb


text:
@online{agda-user-guide,
	url = {https://agda.readthedocs.io/en/v2.6.0.1/index.html},
	title = {Agda User Guide},
	urldate = {2019-09-08}
}
@online{vim-editing,
	url = {https://wiki.portal.chalmers.se/agda/pmwiki.php?n=Main.VIMEditing},
	title = {VIM Editing},
	urldate = {2019-09-08}
}
@online{agda-stdlib,
	url = {https://github.com/agda/agda-stdlib},
	title = {The Agda standard library},
	urldate = {2019-09-08}
}
@online{scripts-uni,
	url = {https://github.com/neosimsim/scripts/blob/master/uni},
	title = {neosimsim/scripts},
	urldate = {2019-09-08}
}
@online{agda-vim,
	url = {https://github.com/derekelkins/agda-vim},
	title = {derekelkins/agda-vim},
	urldate = {2019-09-08}
}
@online{emacs-mode,
	url = {https://agda.readthedocs.io/en/v2.6.0.1/tools/emacs-mode.html},
	title = {Agda — Emacs Mode},
	urldate = {2019-10-26}
}
@online{plfa,
        url = {https://plfa.github.io/},
	title = {Programming Language Foundations in Agda},
	urldarte = {2019-10-27}
}

repository: neosimsim/merkdas

repo_name: neosimsim/merkdas