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Bayesian networks
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#	Item
251	Error-Bounded Probabilistic Graphical Model Simplification by Scott A. Wahl A proposal submitted in partial fulfillment Add to Reading List Source URL: www.cs.montana.edu Language: English - Date: 2014-10-27 15:50:48 Statistical models Networks Bayesian networks Prognostics Expectation–maximization algorithm Factor graph Belief propagation Statistics Bayesian statistics Graphical models
252	Computing Posterior Probabilities of Structural Features in Bayesian Networks Jin Tian and Ru He Department of Computer Science Iowa State University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2009-05-28 00:58:31 Networks Statistical theory Numerical analysis Bayesian network Bayesian inference XTR Markov chain Discretization Forward–backward algorithm Statistics Bayesian statistics Markov models
253	Generating Markov Equivalent Maximal Ancestral Graphs by Single Edge Replacement Jin Tian Department of Computer Science Iowa State University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-06-01 16:14:08 Bayesian statistics Statistical models Networks Ancestral graph Bayesian network M-separation Graph Directed graph Markov random field Graph theory Graphical models Statistics
254	Inequality Constraints in Causal Models with Hidden Variables Changsung Kang Department of Computer Science Iowa State University Ames, IA 50011 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2007-09-03 13:30:47 Logical syntax Bayesian network Networks Entailment Instrumental variable Inequality Causality Linear programming Variable Logic Mathematics Statistics
255	Application of Bayesian Geo-additive Mixed Latent Variable Model to the Child’s Health Problems Khaled Khatab Faculty of Health and Wellbeing, Sheffield Hallam University, United Kingdom Childhood di Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Health Bayesian networks Psychometrics Public health Medicine Latent variable model Latent variable Malnutrition Underweight Nutrition Statistical models Statistics
256	Probabilistic Instruction Cache Analysis using Bayesian Networks Mark Bartlett, Iain Bate, James Cussens and Dimitar Kazakov Department of Computer Science University of York York, UK Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2012-05-02 15:17:12 Cache CPU cache Central processing unit Computer memory Bayesian network Graphical model Bayesian inference Worst-case execution time Acumem SlowSpotter Statistics Bayesian statistics Statistical models
257	Finding the k-best Equivalence Classes of Bayesian Network Structures for Model Averaging Supplemental Materials Yetian Chen and Jin Tian Department of Computer Science Iowa State University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2014-04-21 13:29:26 Neural networks Artificial neuron
258	Cardinality Restricted Boltzmann Machines Kevin Swersky Daniel Tarlow Ilya Sutskever Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-11-13 03:36:53 Networks Mathematics Applied mathematics Computational neuroscience Boltzmann machine Belief propagation Bayesian network Machine learning Sparse matrix Neural networks Statistics Graphical models
259	Local Markov Property for Models Satisfying Composition Axiom Changsung Kang Department of Computer Science Iowa State University Ames, IA 50011 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-06-05 18:46:36 Mathematics Graphical models Networks Markov models Markov processes Bayesian network Markov property Independence Net Statistics Abstract algebra Probability theory
260	Exact Bayesian Learning of Ancestor Relations in Bayesian Networks Exact Bayesian Learning of Ancestor Relations in Bayesian Networks Supplementary Material Yetian Chen Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2015-01-23 16:32:42 Seattle Mariners all-time roster Four-square cipher Control theory Optimal control Stochastic control

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