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Bayesian probability
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#	Item
511	An introduction to graphical models Kevin P. Murphy 10 May 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
512	Exploring Compositional High Order Pattern Potentials for Structured Output Learning Yujia Li, Daniel Tarlow, Richard Zemel University of Toronto Toronto, ON, Canada, M5S 3G4 {yujiali, dtarlow, zemel}@cs.toronto.edu Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-04-19 18:32:04 Graphical models Statistical models Theoretical computer science Bayesian statistics Conditional random field Boltzmann machine Expectation–maximization algorithm Mixture model Pattern recognition Statistics Machine learning Probability and statistics
513	Theory and Dynamics of Perceptual Bistability Paul R. Schrater∗ Departments of Psychology and Computer Sci. & Eng. University of Minnesota Minneapolis, MN 55455 Add to Reading List Source URL: outobox.cs.umn.edu Language: English - Date: 2006-11-22 23:08:30 Bayesian inference Estimation theory Statistical inference Probability distribution Maximum a posteriori estimation Statistics Statistical theory Bayesian statistics
514	Cooperative Multi-Agent Inference over Grid Structured Markov Random Fields Ryan K. Williams and Gaurav S. Sukhatme Abstract— In this work we investigate cooperative inference in multi-agent systems where uncertainty i Add to Reading List Source URL: robotics.usc.edu Language: English - Date: 2013-06-01 19:27:52 Probability theory Networks Statistical models Probability and statistics Mathematics Belief propagation Markov random field Bayesian network Probabilistic logic Graphical models Statistics Bayesian statistics
515	CS-TR-4956 UMIACS-TRLAMP-TR-153 June 2010 Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2011-01-03 11:18:10 Monte Carlo methods Markov models Markov chain Monte Carlo Estimation theory Markov chain Expectation–maximization algorithm Gibbs sampling Importance sampling Bayesian inference Statistics Probability and statistics Bayesian statistics
516	Modeling Dependable Systems using Hybrid Bayesian Networks Martin Neil†‡, Manesh Tailor‡, David Marquez†, Norman Fenton†‡ and Peter Hearty† † Department of Computer Science, Queen Mary, University of Lon Add to Reading List Source URL: www.agenarisk.com Language: English - Date: 2010-02-23 15:24:03 Bayesian inference Markov chain Probability distribution Graphical model Conjugate prior Statistics Bayesian statistics Bayesian network
517	Using Bayesian Networks and Simulation for Data Fusion and Risk Analysis Martin Neil, Norman Fenton and David Marquez Queen Mary, University of London, and Agena Ltd, UK Abstract. Bayesian networks (BNs) were pioneered t Add to Reading List Source URL: www.agenarisk.com Language: English - Date: 2010-02-23 15:24:03 Mathematical analysis Bayesian statistics Graphical models Numerical analysis Bayesian network Discretization Marginal distribution Independence Bayesian inference Statistics Probability theory Probability and statistics
518	Fuzzy-probabilistic logic for common sense YKY (King-Yin Yan) Abstract. P(Z) logic offers a new way to reason about vagueness (ie fuzziness), that treats fuzziness as degrees, distinct from probabilities. One then applie Add to Reading List Source URL: agi-conference.org Language: English - Date: 2012-12-09 10:04:16 Fuzzy logic Artificial intelligence Non-classical logic Bayesian statistics Probability interpretations Probabilistic logic Inference Bayesian network Fuzzy set Logic Mathematical logic Science
519	Modeling Dependable Systems using Hybrid Bayesian Networks Martin Neil†‡, Manesh Tailor‡, David Marquez†, Norman Fenton†‡ and Peter Hearty† † Department of Computer Science, Queen Mary, University of Lon Add to Reading List Source URL: www.agena.co.uk Language: English - Date: 2010-02-23 15:24:03 Bayesian inference Markov chain Probability distribution Graphical model Conjugate prior Statistics Bayesian statistics Bayesian network
520	Presentation Title Bayesian Statistics in Psychology: Prevalence, Implementation, and the Impact of Priors in the Applied Literature Subject Area (up to 3) Methodology Abstract describing the symposium (50 words maximum) Add to Reading List Source URL: rensvandeschoot.files.wordpress.com Language: English Information Bayesian inference Prior probability Bayesian probability Robust Bayes analysis Statistics Bayesian statistics Science

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