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Graphical models
Results: 1083

#	Item
691	Effects of generative and discriminative learning on use of category variability Anne S. Hsu ([removed]) Department of Cognitive, Perceptual and Brain Sciences, University College London, London, UK Thomas L. Add to Reading List Source URL: ahsu.psychol.ucl.ac.uk Language: English - Date: 2012-01-09 14:24:48 Artificial intelligence Learning Generative model Discriminative model Pattern recognition Graphical model Language acquisition Bag of words model in computer vision Linear classifier Machine learning Statistics Statistical models
692	Identifying causal pathways with and without diagrams James E. Corter ([removed]) Teachers College, Columbia University, 525 W. 120th Street New York, NY[removed]USA David L. Mason ([removed]) Add to Reading List Source URL: faculty.tc.columbia.edu Language: English - Date: 2011-11-30 19:37:49 Scientific modeling Causality Graphical models Psychometrics Causal structure Diagram Causal diagram Structural equation modeling Bayesian network Statistics Science Statistical models
693	Preconditioner Approximations for Probabilistic Graphical Models Pradeep Ravikumar John Lafferty School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-01-19 21:57:12 Preconditioner Matrix Golden ratio Eigenvalues and eigenvectors Belief propagation Algebra Mathematics Numerical linear algebra
694	Conditional Random Fields via Univariate Exponential Families Eunho Yang Department of Computer Science University of Texas at Austin Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-11-14 22:48:54 Probability theory Graphical models Regression analysis Theoretical computer science Exponentials Conditional random field Generalized linear model Sufficient statistic Normal distribution Statistics Probability and statistics Probability
695	(BP)2 : Beyond Pairwise Belief Propagation Labeling by Approximating Kikuchi Free Energies Ifeoma Nwogu and Jason J. Corso Department of Computer Science and Engineering University at Buffalo, SUNY Buffalo, NY Add to Reading List Source URL: www.cse.buffalo.edu Language: English - Date: 2014-07-29 10:11:56 Probability theory Belief propagation Coding theory Tree decomposition Graph Clique Chordal graph Factor graph Hypergraph Graph theory Graphical models Graph operations
696	On Poisson Graphical Models Eunho Yang Department of Computer Science University of Texas at Austin [removed] Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-11-07 15:24:26 Categorical data Regression analysis Poisson processes Poisson distribution Maximum likelihood Expectation–maximization algorithm Markov random field Normal distribution Count data Statistics Estimation theory Actuarial science
697	Reasoning at the Right Time Granularity Suchi Saria Uri Nodelman Daphne Koller Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2007-09-01 16:57:13 Probability and statistics Markov models Probability Probability theory Networks Continuous-time Markov process Belief propagation Markov chain Hidden Markov model Statistics Graphical models Markov processes
698	tech.report.jcp[removed]clark Add to Reading List Source URL: www.hss.cmu.edu Language: English - Date: 2010-06-03 11:20:59 Graph Causality Function Static single assignment form Bayesian network Directed acyclic graph Graph theory Mathematics Graphical models
699	Approximate Credal Network Updating by Linear Programming with Applications to Decision MakingI Alessandro Antonuccia,∗, Cassio P. de Camposb , David Hubera , Marco Zaffalona a Istituto Dalle Molle di Studi sull’Int Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-11-04 15:29:09 Bayesian inference Credal set Bayesian network Graphical model Statistics Bayesian statistics Statistical models
700	Expectation Propagation for Continuous Time Bayesian Networks Uri Nodelman Stanford University [removed] Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-06-05 21:42:48 Graphical models Markov processes Probability theory Exponentials Belief propagation Coding theory Continuous-time Markov process Normal distribution Expectation–maximization algorithm Statistics Mathematics Probability and statistics

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