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Graphical models
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#	Item
161	EE596A – Dynamic Graphical Models Winter Quarter 2013 Prof. Jeff Bilmes University of Washington, Seattle Department of Electrical Engineering Winter Quarter, 2013 Add to Reading List Source URL: j.ee.washington.edu Language: English - Date: 2013-02-05 22:42:18
162	Learning the Structure of Deep Sparse Graphical Models Ryan Prescott Adams University of Toronto Hanna M. Wallach Add to Reading List Source URL: dirichlet.net Language: English - Date: 2014-10-13 11:25:00
163	Cognitive Science–160 Copyright ! 2009 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: j01072.x Inferring Hidden Causal Structur Add to Reading List Source URL: eccl.mit.edu Language: English - Date: 2015-03-10 17:29:07 Philosophy of science Graphical models Causal inference Statistical models Causality Conditionals Causal reasoning Causal graph Bayesian network Determinism Statistics Psychology
164	Machine Learning Summer School 3-14 March 2008 Kioloa Coastal Campus, Australia Avrim Blum, Carnegie Mellon, Learning in Games Wray Buntine, NICTA, Models for Documents Tiberio Caetano, NICTA, Introduction to Graphical M Add to Reading List Source URL: mlss08.rsise.anu.edu.au - Date: 2008-02-21 23:42:47
165	EE512A – Advanced Inference in Graphical Models — Fall Quarter, Lecture 13 — http://j.ee.washington.edu/~bilmes/classes/ee512a_fall_2014/ Prof. Jeff Bilmes University of Washington, Seattle Add to Reading List Source URL: j.ee.washington.edu Language: English - Date: 2014-11-25 22:38:07
166	EE596A Dynamic Graphical Models Winter 2013 University of Washington Dept. of Electrical Engineering Add to Reading List Source URL: j.ee.washington.edu Language: English - Date: 2013-01-14 15:43:22
167	Review TRENDS in Cognitive Sciences Vol.8 No.8 August 2004 Add to Reading List Source URL: eccl.mit.edu Language: English - Date: 2015-03-10 17:29:06 Statistics Philosophy Logic Conditionals Graphical models Statistical inference Statistical models Philosophy of science Causality Bayesian network Conditional probability Counterfactual conditional
168	Learning as MAP Inference in Discrete Graphical Models James Petterson NICTA/ANU Canberra, Australia Add to Reading List Source URL: tiberiocaetano.com Language: English
169	Encyclopedia of Machine Learning Chapter No: 00143 Page Proof Page #1 G Graphical Models. Table � Notation Add to Reading List Source URL: tiberiocaetano.com Language: English - Date: 2011-03-13 07:21:46
170	Tractable Bayesian Social Learning on Trees Yashodhan Kanoria∗ and Omer Tamuz† April 16, 2012 Abstract We study a model of Bayesian agents in social networks who learn from the actions of their Add to Reading List Source URL: people.hss.caltech.edu Language: English - Date: 2012-04-16 12:26:36 Statistics Statistical models Graphical models Bayesian network Networks Bayesian inference Algorithm Belief propagation

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