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Bayesian network
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#	Item
481	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 21:32:01 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
482	Scaling-up Importance Sampling for Markov Logic Networks Vibhav Gogate Department of Computer Science University of Texas at Dallas Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-10-31 21:56:53 Monte Carlo methods Data analysis Artificial intelligence Markov logic network Gibbs sampling Importance sampling Bayesian inference Sampling First-order logic Statistics Statistical inference Bayesian statistics
483	Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs Deepak Venugopal Department of Computer Science The University of Texas at Dallas Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-12-01 04:03:20 Bayesian statistics Artificial intelligence Model theory Graphical models Markov logic network First-order logic Gibbs sampling Constructible universe Bayesian network Mathematics Theoretical computer science Applied mathematics
484	MLRG: Bayes. Net. Complexity Kui Tang Background Definitions Add to Reading List Source URL: kui-tang.com Language: English Complexity classes Bayesian statistics Graphical models Statistical models Bayesian network NP P-complete Belief propagation Reduction Theoretical computer science Computational complexity theory Applied mathematics
485	Maximum Margin Bayesian Networks Yuhong Guo Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 21:14:41 Machine learning Networks Statistical models Bayesian network Markov random field Hidden Markov model Markov chain Support vector machine Supervised learning Statistics Graphical models Bayesian statistics
486	Journal of Artificial Intelligence Research203 Submitted 11/12; publishedA Survey on Latent Tree Models and Applications Rapha¨ Add to Reading List Source URL: www.jair.org Language: English - Date: 2013-05-31 00:53:01 Latent variable Expectation–maximization algorithm Latent class model Bayesian network Graphical model Mixture model Marginal likelihood Statistics Statistical models Bayesian statistics
487	Hierarchical POMDP Controller Optimization by Likelihood Maximization Marc Toussaint Computer Science TU Berlin Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-07-02 13:43:57 Knowledge representation Tree Bayesian network Mathematical sciences Networks Bayesian statistics Graphical models
488	Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering Yuhong Guo and Dale Schuurmans Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-05-23 00:36:59 Graphical models Networks Statistical models Bayesian network Exponential family Bayesian inference Mathematical optimization Maximum likelihood Feature selection Statistics Bayesian statistics Statistical theory
489	Learning Probability Distributions over Partially-Ordered Human Everyday Activities Moritz Tenorth Intelligent Robotics and Communications Lab ATR, Kyoto, Japan Add to Reading List Source URL: ai.uni-bremen.de Language: English - Date: 2013-09-16 12:37:28 Artificial intelligence Philosophy of science Machine learning Bayesian network Networks Activity recognition Hidden Markov model Causality Pattern recognition Statistics Science Bayesian statistics
490	Loopy Belief Propagation in the Presence of Determinism David Smith The University of Texas at Dallas Richardson, TX, 75080, USA Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-02-25 21:05:54 Probability theory Networks Statistical models Probability and statistics Mathematics Markov random field Belief propagation Bayesian network Graphical models Statistics Bayesian statistics

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