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Graphical models
Results: 1083

#	Item
891	June[removed]LIDS Publication # 2563 Research supported in part by: Army Research Office Award Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:49 Graphical models Networks Artificial intelligence Probability theory Probability and statistics Markov random field Statistical inference Scientific modelling Statistics Science Theoretical computer science
892	Modeling and Estimation in Gaussian Graphical Models: Maximum-Entropy Methods and Walk-Sum Analysis by Venkat Chandrasekaran Submitted to the Department of Electrical Engineering and Computer Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:56 Bayesian statistics Probability theory Networks Statistical models Markov random field Entropy Chordal graph Belief propagation Graph theory Statistics Graphical models
893	Bayesian Network Classifiers in Weka Remco R. Bouckaert [removed] September 1, 2004 Abstract Various Bayesian network classifier learning algorithms are implemented in Weka [10]. Add to Reading List Source URL: weka.sourceforge.net Language: English - Date: 2004-09-29 00:47:39 Machine learning Statistical classification Bayesian network Naive Bayes classifier Graphical model Supervised learning Feature selection Statistics Bayesian statistics Statistical models
894	Bayesian Time Series Models and Scalable Inference by Matthew James Johnson B.S. Electrical Engineering and Computer Sciences, UC Berkeley, 2008 S.M. Electrical Engineering and Computer Science, MIT, 2010 Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2014-06-19 14:35:03 Markov models Statistical theory Bioinformatics Hidden Markov model Bayesian inference Hidden semi-Markov model Gibbs sampling Graphical model Non-parametric statistics Statistics Bayesian statistics Statistical inference
895	Feedback Message Passing for Inference in Gaussian Graphical Models by Ying Liu B.E. Electrical Engineering Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:36:21 Theoretical computer science Coding theory Belief propagation Probability theory Statistical models Algorithm Graph theory Feedback vertex set Mathematics Graphical models Applied mathematics
896	Convex Relaxation Methods for Graphical Models: Lagrangian and Maximum Entropy Approaches by Jason K. Johnson Submitted to the Department of Electrical Engineering and Computer Science in Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:55 Mathematical analysis Operations research Linear programming Graphical models Duality Belief propagation Relaxation Lagrangian relaxation Estimation theory Mathematical optimization Convex optimization Mathematics
897	Approximate Inference in Gaussian Graphical Models by Dmitry M. Malioutov Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:31 Probability and statistics Probability theory Matrices Belief propagation Coding theory Matrix Normal distribution Covariance matrix Gaussian function Statistics Graphical models Mathematics
898	June, 2005 LIDS Publication # 2644 Research supported in part by: ODDR&E MURI: ARO Grant Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:51 Graphical models Computational statistics Statistical models Bayesian statistics Belief propagation Coding theory Wireless sensor network Particle filter Estimation theory Statistics Mathematics Applied mathematics
899	Efficient Multi-Target Tracking Using Graphical Models by Zhexu (Michael) Chen S.B. in Electrical Engineering and Computer Science Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:51 Mathematics Theoretical computer science Probability theory Machine learning Cybernetics Belief propagation Algorithm Cluster analysis Markov random field Statistics Graphical models Applied mathematics
900	Probabilistic Graphical Models: Distributed Inference and Learning Models with Small Feedback Vertex Sets by Ying Liu Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2014-06-19 14:35:07 Applied mathematics Bayesian statistics Statistical models Theoretical computer science Algorithm Mathematical logic Belief propagation Distributed algorithm Graph theory Mathematics Statistics Graphical models

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