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Bayesian network
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#	Item
471	COMPUTER SPEECH AND LANGUAGE Computer Speech and Language–193 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2003-06-04 19:06:04 Probability Markov models Graphical models Statistical models Networks Bayesian network Hidden Markov model Markov chain Causality Statistics Bayesian statistics Probability and statistics
472	The Optimality of Naive Bayes Harry Zhang Faculty of Computer Science University of New Brunswick Fredericton, New Brunswick, Canada E3B 5A3 Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2011-03-26 12:00:06 Bayesian network Bayesian inference Statistical classification Posterior probability Maximum a posteriori estimation Estimation theory Random naive Bayes Statistics Bayesian statistics Naive Bayes classifier
473	Bayesian Belief Network Dr. Saed Sayad University of Toronto 2010 Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-12-18 23:36:22 Probability and statistics Probability Conditional probability Mutually exclusive events Bayesian network Joint probability distribution Probability theory Statistics Mathematics
474	Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing Long (Leo) Zhu Department of Statistics University of California at Los Angeles Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-06-10 16:49:54 Artificial intelligence Graphical models Statistical models Bioinformatics Constellation model Expectation–maximization algorithm Conditional random field Bayesian network Supervised learning Statistics Machine learning Probability and statistics
475	TPAMI..15 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-03-17 17:22:00 Applied mathematics Networks Bayesian statistics Statistical models Probability theory Bayesian network Belief propagation Constellation model Anglo-Saxon runes Statistics Graphical models Graph theory
476	APPLYING MACHINE LEARNING ALGORITHMS IN SOFTWARE DEVELOPMENT Du Zhang Department of Computer Science California State University Sacramento, CA Add to Reading List Source URL: www.disi.unige.it Language: English - Date: 2000-09-06 12:17:42 Formal sciences Artificial intelligence Theoretical computer science Bayesian statistics Cybernetics Software testing Supervised learning Artificial neural network Pattern recognition Machine learning Statistics Science
477	Probabilistic Inference Using Markov Chain Monte Carlo Methods Radford M. Neal Technical Report CRG-TR-93-1 Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Markov models Monte Carlo methods Markov chain Monte Carlo Statistical models Gibbs sampling Bayesian inference Bayesian network Bayesian probability Probabilistic logic Statistics Probability and statistics Bayesian statistics
478	A Novel Click Model and Its Applications to Online Advertising Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:48:56 Natural language processing Statistical theory Search advertising Bayesian network Information retrieval Google Search Bayesian inference Prior probability Graphical model Statistics Bayesian statistics Statistical models
479	Journal of Artificial Intelligence Research637 Submitted 02/14; publishedProbabilistic Inference in Credal Networks: New Complexity Results Add to Reading List Source URL: www.jair.org Language: English - Date: 2014-07-28 01:14:54 Probability theory Bayesian inference Credal set Statistical models Bayesian network Hidden Markov model Naive Bayes classifier Joint probability distribution Independence Statistics Bayesian statistics Probability and statistics
480	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: www.jair.org Language: English - Date: 2011-09-06 21:29:44 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models

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