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Bayesian networks
Results: 613

#	Item
561	USING GRAPHICAL MODELS AND GENOMIC EXPRESSION DATA TO STATISTICALLY VALIDATE MODELS OF GENETIC REGULATORY NETWORKS ALEXANDER J. HARTEMINK MIT Laboratory for Computer Science 545 Technology Square, Cambridge, MA 02139 Add to Reading List Source URL: www.psrg.lcs.mit.edu Language: English - Date: 2013-07-14 14:56:24 Bayesian statistics Graphical models Estimation theory Latent variable Mutual information Maximum likelihood Variable-order Bayesian network Statistics Statistical models Bayesian networks
562	13 Extending Bayesian Networks to the Open-Universe Case Brian Milch and Stuart Russell Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-12-29 19:42:37 Statistical dependence Probability and statistics Random variable Randomness Independence Variable Conditional independence Bayesian network Probability theory Mathematics Statistics
563	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
564	Approximate Inference for Infinite Contingent Bayesian Networks Brian Milch, Bhaskara Marthi, David Sontag, Stuart Russell, Daniel L. Ong and Andrey Kolobov Computer Science Division University of California Berkeley, C Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-11-29 03:40:07 Random variable Event Independence Variance Markov chain Probability distribution Parameter Mode Probability space Probability theory Statistics Probability and statistics
565	Rao-Bla kwellised Parti le Filtering for Dynami Bayesian Networks Kevin Murphy and Stuart Russell 1 Introdu tion Parti le ltering in high dimensional state-spa es an be ineÆ ient, be ause Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2008-01-03 13:52:04
566	LETTER Communicated by Yann Le Cun A Fast Learning Algorithm for Deep Belief Nets Geoffrey E. Hinton Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-16 13:22:12 Probability and statistics Statistical models Bayesian statistics Computational neuroscience Boltzmann machine Backpropagation Graphical model Generative model Gibbs sampling Statistics Neural networks Machine learning
567	Structured models for multi-agent interactions* Daphne Koller Brian Milch Computer Science Department Stanford University Stanford, CA[removed] Add to Reading List Source URL: www.tark.org Language: English - Date: 2011-10-23 10:31:50 Graphical models Bayesian statistics Statistical models Probability theory Networks Bayesian network Random variable Influence diagram Extensive-form game Statistics Mathematics Probability and statistics
568	Theoretical Computer Science[removed]–11 Contents lists available at SciVerse ScienceDirect Add to Reading List Source URL: www.tik.ee.ethz.ch Language: English - Date: 2013-05-02 13:59:18 Game theory Graph Tree Graph coloring Networks Graph theory Mathematics Bayesian game
569	In Artificial Intelligence and Simulation of Behaviour Quarterly, Special issue on Bayesian belief networks, 94:43-54, 1996 Add to Reading List Source URL: www.pitt.edu Language: English - Date: 2005-05-04 14:49:05 Statistical models Probability and statistics Logic Probability theory Bayesian network Networks Belief propagation Probabilistic logic Economic model Statistics Bayesian statistics Graphical models
570	Using Bayesian Networks to model Expected and Unexpected Operational Losses Add to Reading List Source URL: www.agenarisk.com Language: English - Date: 2010-02-23 15:24:03 Management Actuarial science Risk management Risk Security Uncertainty Conditional probability Marginal distribution Probability interpretations Probability theory Probability Statistics

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