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Bayesian programming
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#	Item
31	Bayesian network learning with cutting planes James Cussens Dept of Computer Science & York Centre for Complex Systems Analysis University of York, Deramore Lane, York, YO10 5GH, UK Add to Reading List Source URL: dslpitt.org Language: English - Date: 2011-09-21 23:06:45 Mathematics Combinatorial optimization Cutting-plane method Numerical software Linear programming relaxation SCIP Bayesian network Linear programming Mathematical optimization Operations research Numerical analysis
32	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: jair.org Language: English - Date: 2011-09-06 21:29:44 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
33	Infer.NET 101 A sample-based introduction to the basics of Microsoft Infer.NET programming Version 1.1 – SeptemberAbstract Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2014-10-27 09:26:54 Statistical theory Statistical inference Machine learning Normal distribution Probability distribution Mixture model Bayesian inference Conjugate prior Prior probability Statistics Probability and statistics Bayesian statistics
34	COMPSCI 276 Homework Assignment 5 Fall 2014 Instructor: Rina Dechter Due:Monday, November 17th Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-11-07 17:37:34 Decomposition method Directed acyclic graph Bayesian network Hybrid algorithm Constraint programming Graph theory Theoretical computer science
35	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: jair.org Language: English - Date: 2011-09-06 21:32:01 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
36	REES User Manual Bayesian Network New Bayesian network: Add to Reading List Source URL: graphmod.ics.uci.edu Language: English - Date: 2009-05-11 14:03:27 Constraint programming Bayesian network Networks
37	9 On the Power of Belief Propagation: A Constraint Propagation Perspective R. D ECHTER , B. B IDYUK , R. M ATEESCU Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-01-25 15:39:31 Local consistency Probability theory Bayesian statistics Statistical models Belief propagation Bayesian network Tree decomposition Constraint satisfaction problem Flow network Graph theory Constraint programming Graphical models
38	AND/OR Multivalued Decision Diagrams (AOMDD) for Probabilistic and Constraints knowledge-bases. Rina Dechter Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-01-24 17:19:40 Bayesian statistics Graph theory Graphical models Bayesian network Networks Influence diagram Logic programming Binary decision diagram Statistics Statistical models Diagrams
39	Maximum likelihood pedigree reconstruction using integer programming James Cussens Dept of Computer Science & York Centre for Complex Systems Analysis University of York, York, YO10 5DD, UK Abstract Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2010-06-10 12:11:55 Estimation theory Network flow Statistical theory Graphical models Maximum likelihood Bayesian network Directed acyclic graph Likelihood function Genetic linkage Graph theory Statistics Bayesian statistics
40	Rina Dechter 1 Introduction: • The constraint network model Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-09-08 14:27:28 Theoretical computer science Constraint graph Decomposition method Hypergraph Bayesian network Constraint inference Constraint programming Software engineering Computer programming

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