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Bayesian network
Results: 1173

#	Item
961	Modeling Interaction via the Principle of Maximum Causal Entropy Brian D. Ziebart [removed] J. Andrew Bagnell [removed] Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:42 Statistical theory Information theory Bayesian statistics Philosophy of thermal and statistical physics Thermodynamic entropy Entropy Principle of maximum entropy Maximum entropy probability distribution Bayesian network Statistics Probability and statistics Probability
962	Context and Hierarchy in a Probabilistic Image Model Ya Jin Division of Applied Mathematics Brown University Stuart Geman Add to Reading List Source URL: www.dam.brown.edu Language: English - Date: 2006-09-25 21:19:54 Bayesian statistics Probability and statistics Graphical models Networks Markov property Markov random field BRICKS Pattern recognition Bayesian network Statistics Statistical models Machine learning
963	Networks of Relations for Representation, Learning, and Generalization Matthew Cook and Jehoshua Bruck California Institute of Technology Mail Stop[removed]Pasadena, California, 91125 USA Add to Reading List Source URL: www.paradise.caltech.edu Language: English - Date: 2005-11-02 15:07:33 Variables Regression analysis Graphical models Bayesian network Networks Parameter Function Correlation and dependence Dependent and independent variables Mathematics Statistics Elementary mathematics
964	A Causal Approach to Hierarchical Decomposition of Factored MDPs Anders Jonsson [removed] Andrew Barto [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:31 Markov decision process Automated planning and scheduling Bayesian network Causality Q-learning Variable Machine learning Algorithm Statistics Mathematics Reinforcement learning
965	Tempering for Bayesian C&RT Nicos Angelopoulos [removed] James Cussens [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:12 Markov chain Bayesian network Posterior probability Conjugate prior Metropolis–Hastings algorithm Maximum likelihood Bayes estimator Naive Bayes classifier Bayesian inference in phylogeny Statistics Bayesian statistics Bayesian inference
966	PDF Document Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-05-07 10:16:52 Laboratory techniques Transcription factors Intracellular receptors Peroxisome proliferator-activated receptor Multiplex High-throughput screening Assay Bayesian network Gene expression Chemistry Science Biology
967	Learning First-Order Probabilistic Models with Combining Rules Sriraam Natarajan NATARASR @ EECS . ORST. EDU Prasad Tadepalli TADEPALL @ EECS . ORST. EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:12 Machine learning Statistical models Cluster analysis Mixture model Bayesian network Expectation–maximization algorithm Naive Bayes classifier Probabilistic logic Statistical classification Statistics Probability and statistics Bayesian statistics
968	Generalized Skewing for Functions with Continuous and Nominal Attributes Soumya Ray [removed] David Page [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:18 Machine learning Statistical models Graphical models Data mining Decision tree learning Random variable Variable Bayesian network Normal distribution Statistics Mathematics Probability and statistics
969	Probabilistic models for decision support under climate change:An example using bull trout in the Boise River basin Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2014-06-10 20:27:29 Global warming Bayesian network Networks Uncertainty Climate change scenario Economic model Statistics Bayesian statistics Statistical models
970	Naive Bayes Models for Probability Estimation Daniel Lowd LOWD @ CS . WASHINGTON . EDU Pedro Domingos PEDROD @ CS . WASHINGTON . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:48 Probability theory Statistical models Networks Bayesian network Gibbs sampling Naive Bayes classifier Markov random field Expectation–maximization algorithm Belief propagation Statistics Bayesian statistics Graphical models

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