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Markov random field
Results: 325

#	Item
201	Learning Thin Junction Trees via Graph Cuts Dafna Shahaf Anton Chechetka Carlos Guestrin Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:05 Graph operations Bayesian statistics Statistical models Tree decomposition Markov random field Bayesian network Separator Clique Randomized algorithm Graph theory Graphical models Networks
202	1 Bayesian Logic Programming: Theory and Tool Kristian Kersting Institute for Computer Science, Machine Learning Lab Albert-Ludwigs-Universit¨ Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-02-02 14:16:03 Graphical models Networks Philosophy of science Probability and statistics Science Bayesian network Markov random field Bayesian probability Conditional independence Bayesian statistics Statistics Probability theory
203	Discriminative Structure Learning of Markov Logic Networks Marenglen Biba, Stefano Ferilli and Floriana Esposito Department of Computer Science, University of Bari Via E.Orabona, [removed], Bari, Italy {biba,ferilli,espo Add to Reading List Source URL: www.di.uniba.it Language: English - Date: 2008-10-06 05:34:02 Bayesian statistics Graphical models Mathematics Artificial intelligence Statistical models Markov random field Markov logic network Bayesian network Algorithm Theoretical computer science Statistics Applied mathematics
204	MAMMOGRAPHIC IMAGE SEGMENTATION USING A TISSUE-MIXTURE MODEL AND MARKOV RANDOM FIELDS Gregory McGarry Mohamed Deriche Add to Reading List Source URL: www.gregorymcgarry.com Language: English - Date: 2005-11-18 15:43:53 Graphical models Machine learning Artificial intelligence Markov random field Networks Theoretical computer science Segmentation Mixture model Random field Statistics Medicine Probability
205	Open Access et al. Smith 2008 Volume Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Bioinformatics Logic Markov models Natural language processing Information science BioCreative Part-of-speech tagging Conditional random field Word-sense disambiguation Science Computational linguistics Linguistics
206	MAP Estimation, Message Passing, and Perfect Graphs Tony Jebara Columbia University New York, NY[removed]removed] Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2010-02-20 14:17:31 Graphical models Probability theory Line graph Clique Chordal graph Graph coloring Tree decomposition Perfect graph Markov random field Graph theory Graph operations NP-complete problems
207	Discriminative Structure Learning of Markov Logic Networks Marenglen Biba, Stefano Ferilli and Floriana Esposito Department of Computer Science, University of Bari Via E.Orabona, [removed], Bari, Italy {biba,ferilli,espo Add to Reading List Source URL: www.di.uniba.it Language: English - Date: 2008-10-06 05:34:02 Bayesian statistics Graphical models Mathematics Artificial intelligence Statistical models Markov random field Markov logic network Bayesian network Algorithm Theoretical computer science Statistics Applied mathematics
208	Learning Markov Structure by Maximum Entropy Relaxation Jason K. Johnson, Venkat Chandrasekaran and Alan S. Willsky∗ Laboratory for Information and Decision Systems Massachusetts Institute of Technology Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:50:21 Bayesian statistics Graphical models Statistical models Networks Statistical theory Markov random field Bayesian network Normal distribution Exponential family Statistics Probability and statistics Probability
209	Journal of Machine Learning Research[removed]–1653 Submitted 10/05; Published 7/06 Structured Prediction, Dual Extragradient and Bregman Projections Ben Taskar Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2006-07-07 16:03:04 Linear programming Dynamic programming Mathematical optimization Function Combinatory logic Markov random field Mathematics Operations research Applied mathematics
210	1012 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 3, MARCH 2010 Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:49:43 Statistical models Probability theory Networks Markov random field Covariance matrix Sparse matrix Matrix Multivariate normal distribution Conjugate prior Statistics Bayesian statistics Graphical models

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