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Graphical model
Results: 650

#	Item
581	Bayesian Network Tools in Java (BNJ) v2.0 William H. Hsu Roby Joehanes Haipeng Guo Add to Reading List Source URL: bnj.sourceforge.net Language: English - Date: 2004-07-21 02:20:01 Statistical models Bayesian network Probabilistic relational model Bayesian inference Machine learning Graphical model Probabilistic logic Statistics Bayesian statistics Probability and statistics
582	A Novel Graphical Model Approach to Segmenting Cell Images Shann-Ching Chen∗ , Ting Zhao∗ , Geoffrey J. Gordon† and Robert F. Murphy∗†‡ Center for Bioimage Informatics, ∗ Department of Biomedical Engineerin Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-09-11 18:39:39 Imaging Segmentation Region growing Watershed Markov random field Thresholding Pixel Market segmentation Graphical model Image processing Computer graphics Statistics
583	A Novel Graphical Model Approach to Segmenting Cell Images Shann-Ching Chen∗ , Ting Zhao∗ , Geoffrey J. Gordon† and Robert F. Murphy∗†‡ Center for Bioimage Informatics, ∗ Department of Biomedical Engineerin Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-02-21 15:15:51 Imaging Segmentation Region growing Watershed Markov random field Thresholding Pixel Market segmentation Graphical model Image processing Computer graphics Statistics
584	Special Issue on Combining Probability and Logic Introduction Fabio Cozman, Rolf Haenni, Jan-Willem Romeijn, Federica Russo, Gregory Wheeler and Jon Williamson Draft of January 18, 2008 This volume arose out of an intern Add to Reading List Source URL: gregorywheeler.org Language: English - Date: 2010-09-19 10:34:32 Bayesian statistics Philosophy of science Statistical models Non-classical logic Deduction Probabilistic logic Bayesian network Graphical model Bayesian inference Statistics Logic Science
585	Probabilistic Complex Event Triggering Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-12-18 02:16:40 Estimation theory Probability and statistics Machine learning Bayesian network Expectation–maximization algorithm Probability Graphical model Supervised learning Probabilistic logic Statistics Bayesian statistics Statistical models
586	Scalable Active Matching Ankur Handa, Margarita Chli, Hauke Strasdat and Andrew J. Davison Department of Computing, Imperial College London, UK {ahanda, mchli, strasdat, ajd}@doc.ic.ac.uk Abstract Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2010-04-20 11:20:40 Theoretical computer science Graphical models Probability theory Combinatorial optimization Matching Pattern recognition Motion estimation Mixture model Video tracking Mathematics Machine learning Statistics
587	Title: Elucidating Genetic Regulatory Networks Using Graphical Models and Genomic Expression Data Authors: Alexander J. Hartemink MIT Laboratory for Computer Science Add to Reading List Source URL: www.psrg.lcs.mit.edu Language: English - Date: 2003-05-27 14:50:51 Networks Bayesian networks Graphical model Gene regulatory network Latent variable Mutual information Clark Glymour Artificial neural network Statistics Statistical models Bayesian statistics
588	Contemporary Mathematics Volume 516, 2010 Geometry of the Restricted Boltzmann Machine Mar´ıa Ang´elica Cueto, Jason Morton, and Bernd Sturmfels Abstract. The restricted Boltzmann machine is a graphical model for bina Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-01 00:27:08 Algebraic varieties Projective space Boltzmann machine Secant variety Determinantal variety Segre embedding Representation theory Complex projective space Projective line Geometry Projective geometry Algebraic geometry
589	An introduction to graphical models Kevin P. Murphy 10 May[removed] Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2003-03-09 20:13:51 Graphical models Bayesian statistics Statistical models Probability theory Hidden Markov model Markov random field Bayesian network Markov chain Markov property Statistics Probability and statistics Markov models
590	Identity Uncertainty and Citation Matching Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, Ilya Shpitser Computer Science Division, University Of California 387 Soda Hall, Berkeley, CA[removed] Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-10-27 20:38:57 Markov models Statistical models Machine learning Geostatistics Markov chain Bayesian network Expectation–maximization algorithm N-gram Graphical model Statistics Probability and statistics Bayesian statistics

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