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Graphical models
Results: 1083

#	Item
501	Foundations of Graphical Models David M. Blei Columbia University October 14, 2014 Description and Prerequisites Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Machine learning Bayesian statistics Regression analysis Hidden Markov model Gibbs sampling Markov chain Graphical model Mixture model Pattern recognition Statistics Statistical models Markov models
502	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: www.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
503	Mach Learn DOIs10994x Efficient inference and learning in a large knowledge base Reasoning with extracted information using a locally groundable first-order probabilistic logic Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2015-04-10 22:35:36 Link analysis Graphical models Networks Probability Mathematics PageRank Markov random field Markov logic network Artificial intelligence Theoretical computer science Applied mathematics
504	C&R TECHNOLOGIES® Sinaps® is a graphical user interface for developing SINDA/FLUINT models and for viewing and reporting the results. Sinaps provides a 2D sketch environment for thermal and flow modeling analysis allow Add to Reading List Source URL: www.crtech.com Language: English - Date: 2013-04-12 17:34:24 Philosophy of mind Ethology Mind Spreadsheet Conceptual model User interface
505	Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs Deepak Venugopal Department of Computer Science The University of Texas at Dallas Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-12-01 04:03:20 Bayesian statistics Artificial intelligence Model theory Graphical models Markov logic network First-order logic Gibbs sampling Constructible universe Bayesian network Mathematics Theoretical computer science Applied mathematics
506	MLRG: Bayes. Net. Complexity Kui Tang Background Definitions Add to Reading List Source URL: kui-tang.com Language: English Complexity classes Bayesian statistics Graphical models Statistical models Bayesian network NP P-complete Belief propagation Reduction Theoretical computer science Computational complexity theory Applied mathematics
507	FABIOPATERNO AND MARIA FRANCESCABUCCA, CNUCE - C.N.R.,ITALY ABSTRACT In this paper we discuss how task models can be useful in the design and development of interactive user interfaces Add to Reading List Source URL: www.archimuse.com Language: English - Date: 2011-09-09 18:19:18 Software Design Graphical user interfaces Usability User interfaces User interface Interaction technique GOMS Application software Human–computer interaction Humanâ€“computer interaction User interface techniques
508	Maximum Margin Bayesian Networks Yuhong Guo Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 21:14:41 Machine learning Networks Statistical models Bayesian network Markov random field Hidden Markov model Markov chain Support vector machine Supervised learning Statistics Graphical models Bayesian statistics
509	Journal of Artificial Intelligence Research203 Submitted 11/12; publishedA Survey on Latent Tree Models and Applications Rapha¨ Add to Reading List Source URL: www.jair.org Language: English - Date: 2013-05-31 00:53:01 Latent variable Expectation–maximization algorithm Latent class model Bayesian network Graphical model Mixture model Marginal likelihood Statistics Statistical models Bayesian statistics
510	Hierarchical POMDP Controller Optimization by Likelihood Maximization Marc Toussaint Computer Science TU Berlin Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-07-02 13:43:57 Knowledge representation Tree Bayesian network Mathematical sciences Networks Bayesian statistics Graphical models

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