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Graphical models
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361	TAP Gibbs Free Energy, Belief Propagation and Sparsity Lehel Csat´o and Manfred Opper Neural Computing Research Group School of Engineering and Applied Science Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-04-24 01:39:22 Normal distribution Belief propagation Kullback–Leibler divergence Bayesian network Expectation–maximization algorithm Gaussian function Statistics Graphical models Bayesian statistics
362	Introduction General Markov theory Graphical independence models Markov properties Summary References Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2012-07-08 13:39:30 Probability and statistics Graphical model Markov chain Markov property COMPASS/Sample Code Statistics Markov models Markov processes
363	Testable Implications of Linear Structural Equation Models Add to Reading List Source URL: ftp.cs.ucla.edu Language: English - Date: 2014-05-09 18:54:50 Graphical models Multivariate statistics Maximum flow problem Network flow Graph Structural equation modeling Instrumental variable Causality Identifiability Statistics Econometrics Regression analysis
364	The Knowledge Engineering Review, Vol. 15:3, 2000, 257±284 Printed in the United Kingdom Copyright # 2000, Cambridge University Press Building large-scale Bayesian networks M A R T I N N E I L 1 , N O R M A N F E N T O Add to Reading List Source URL: www.eecs.qmul.ac.uk Language: English - Date: 2013-04-11 09:14:58 Statistical models Graphical models Bayesian network Electromagnetism Electronics Connectivity Topology Networks Statistics Bayesian statistics
365	Chapter 8 Bounding Inference: mini-bucket and mini-clustering schemes Up to now we focused on exact algorithms for processing graphical models emphasizing the two reasoning styles of inference and search. We also showed Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-12-03 04:10:08 Sorting algorithms Variable Bucket sort Mathematics Bucket Algorithm
366	PDF Document Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2006-03-20 19:18:22 Graphical models Statistical models Bayesian statistics Conditional random field Theoretical computer science Information extraction Expectation–maximization algorithm Bayesian network Pattern recognition Statistics Machine learning Probability and statistics
367	Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures Johannes Hartz Cognitive Systems Laboratory Department of Informatics University of Hamburg Add to Reading List Source URL: kogs-www.informatik.uni-hamburg.de Language: English - Date: 2009-09-29 12:24:33 Statistics Bayesian statistics Statistical models Applied mathematics Computer vision Bayesian network Matching Markov random field Structure Mathematics Networks Graphical models
368	Journal of Machine Learning Research2411 Submitted 2/08; Revised 4/09; PublishedExploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-10-29 15:36:42 Applied mathematics Probability theory Graphical models Probability distribution Random variable Parameter Correlation and dependence Time complexity Bayesian network Theoretical computer science Mathematics Probability and statistics
369	A Variational Approximation for Topic Modeling of Hierarchical Corpora Do-kyum Kim Geoffrey M. Voelker Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-03-20 12:49:52 Statistical models Latent Dirichlet allocation Variational Bayesian methods Graphical models Topic model Expectation–maximization algorithm Mixture model Dirichlet process Dirichlet distribution Statistics Statistical natural language processing Bayesian statistics
370	Probabilistic Modelling and Reasoning School of Informatics, University of Edinburgh Instructor: Prof Chris Williams September 2012 Assessment By formal examination (80%) and one assignment (20%). Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2012-08-31 08:26:57 Statistical models Networks Probability theory Bayesian network Expectation–maximization algorithm Hidden Markov model Bayesian inference Markov random field Belief propagation Statistics Graphical models Bayesian statistics

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