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Graphical models
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#	Item
481	THE GRAPHICAL MODELS TOOLKIT: AN OPEN SOURCE SOFTWARE SYSTEM FOR SPEECH AND TIME-SERIES PROCESSING Jeff Bilmes and Geoffrey Zweig Department of Electrical Engineering, University of Washington, Seattle WAIBM T. J. Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-02-10 14:51:58 Graphical models Statistical models Bayesian statistics Markov models Networks Hidden Markov model Bayesian network Markov random field Expectation–maximization algorithm Statistics Probability and statistics Probability
482	Exact Inference: Elimination and Sum Product (and hidden Markov models) David M. Blei Columbia University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Graphical models Belief propagation Coding theory Probability theory Tree decomposition Static single assignment form Hidden Markov model Maths24 COMPASS/Sample Code Graph theory Mathematics Compiler construction
483	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
484	The Sequence Memoizer ∗ Frank Wood Department of Statistics Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2012-09-11 11:52:10 Bayesian statistics Stochastic processes Markov processes Graphical models Dirichlet process Pitman–Yor process Markov property Language model Gibbs sampling Statistics Probability and statistics Markov models
485	Graphical Models David M. Blei Columbia University September 17, 2014 These lecture notes follow the ideas in Chapter 2 of An Introduction to Probabilistic Graphical Models by Michael Jordan. In addition, many of the fi Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Graphical model Conditional probability distribution Independence Joint probability distribution Conditioning Hidden Markov model Maths24 Probability theory Statistics Probability
486	Learning Influence Probabilities In Social Networks Amit Goyal Francesco Bonchi Laks V. S. Lakshmanan Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:37:52 Statistical models Graph theory Bayesian statistics Probability and statistics Networks Markov processes Method of conditional probabilities Statistics Graphical models Connectivity
487	Max Margin AND/OR Graph Learning for Parsing the Human Body Long (Leo) Zhu Department of Statistics University of California, Los Angeles Yuanhao Chen Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-04-06 20:05:24 Theoretical computer science Electromagnetism Topology Connectivity Applied mathematics Electronics Segmentation-based object categorization Graphical models Conditional random field Machine learning
488	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
489	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
490	Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing Yuanhao Chen Department of Automation University of Science and Technology of China Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-01-11 19:07:08 Probability theory Networks Applied mathematics Belief propagation Coding theory Topology Tree Connectivity Markov random field Graph theory Graphical models Mathematics

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