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Bayesian network
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#	Item
351	Sampling Techniques for Probabilistic and Deterministic Graphical models Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-11-19 16:19:36 Probability and statistics Importance sampling Markov chain Monte Carlo Gibbs sampling Bayesian network Markov chain Variance reduction Probabilistic logic Sampling Statistics Monte Carlo methods Computational statistics
352	COMPSCI 276 Homework Assignment 5 Fall 2014 Instructor: Rina Dechter Due:Monday, November 17th Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-11-07 17:37:34 Decomposition method Directed acyclic graph Bayesian network Hybrid algorithm Constraint programming Graph theory Theoretical computer science
353	A collaborative eye to the future Kshanti A. Greene, Terrance Goan, Eugene R. Creswick1 Stottler-Henke Associates, IncNE 45th St, Suite 310 Seattle, WAABSTRACT Add to Reading List Source URL: galois.com Language: English - Date: 2014-07-16 17:46:24 Statistical models Collective intelligence Statistical theory Social information processing Mathematical model Bayesian network Bayesian inference Economic model A priori Statistics Bayesian statistics Science
354	Capturing Independence Graphically; Undirected Graphs COMPSCI 276, Spring 2014 Set 2: Rina Dechter Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-10-14 13:20:40 Networks Independence Probability and statistics Mutual information Interaction information Statistics Information theory Bayesian network
355	Psychological Bulletin 2012, Vol. 138, No. 3, 415– 422 © 2012 American Psychological Association/$12.00 DOI: a0026884 Add to Reading List Source URL: www.yangzhiping.com Language: English - Date: 2015-01-28 00:11:16 Bayesian inference Bayesian probability Statistical inference Concept learning Bayesian network Graphical model Probabilistic logic Cognitive science Bayesian brain Statistics Bayesian statistics Bayesian cognitive science
356	Journal of Artificial Intelligence Research637 Submitted 02/14; publishedProbabilistic Inference in Credal Networks: New Complexity Results Add to Reading List Source URL: 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
357	Advances in Combinatorial Op4miza4on Tasks over Graphical Models Rina Dechter Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-12-29 16:16:40 Theoretical computer science Bayesian statistics Statistical models Applied mathematics Probability and statistics Markov random field Bayesian network Mathematical optimization Constraint satisfaction problem Graphical models Networks Statistics
358	A Structure-guided Approach to Capturing Bayesian Reasoning about Legal Evidence in Argumentation Sjoerd T. Timmer John-Jules Ch. Meyer Henry Prakken Add to Reading List Source URL: www.cs.uu.nl Language: English - Date: 2015-02-23 06:13:32 Bayesian statistics Statistical models Reasoning Arguments Graphical models Bayesian network Probabilistic logic Argumentation theory Defeasible reasoning Science Logic Knowledge
359	Learning Generative Models with Visual Attention Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov Department of Computer Science University of Toronto Toronto, Ontario, Canada Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-01-20 13:56:05 Machine learning Statistical models Graphical models Bayesian statistics Networks Boltzmann machine Generative model Bayesian inference Bayesian network Statistics Probability and statistics Probability
360	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: jair.org Language: English - Date: 2011-09-06 21:32:01 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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