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Bayesian network
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461	Structured Generative Models of Natural Source Code Chris J. Maddison† University of Toronto CMADDIS @ CS . TORONTO . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:28 Graphical models Bayesian statistics Machine learning Tree traversal Generative model Bayesian network Latent variable Hidden Markov model N-gram Statistics Statistical models Probability
462	Computerized Model Based Functional Safety Analysis Muhammed Zoheb Hossain ⇤ Mattias Nyberg ⇤⇤ Olena Rogovchenko ⇤⇤⇤ Peter Fritzson ⇤⇤⇤⇤ ⇤ Add to Reading List Source URL: www.openmodelica.org Language: English - Date: 2012-04-16 11:00:05 Systems science Bayesian statistics Statistical models Simulation software Fault tree analysis Modelica Bayesian network Graphical model SimulationX Systems engineering Statistics Reliability engineering
463	Bayesian Network Structures and Inference Techniques for Automatic Speech Recognition Geoffrey Zweig IBM T. J. Watson Research Center, Yorktown Heights, NY, Abstract Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2001-11-15 14:02:40 Probability and statistics Statistical models Bioinformatics Hidden Markov model Bayesian network Graphical model Markov chain Speech recognition Causality Statistics Bayesian statistics Markov models
464	STRUCTURALLY DISCRIMINATIVE GRAPHICAL MODELS FOR AUTOMATIC SPEECH RECOGNITION – RESULTS FROM THE 2001 JOHNS HOPKINS SUMMER WORKSHOP Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2005-03-03 12:04:50 Graphical models Networks Machine learning Bayesian network Speech recognition Mutual information Expectation–maximization algorithm Hidden Markov model Generative model Statistics Statistical models Bayesian statistics
465	Identifying Conditional Causal Effects Jin Tian Department of Computer Science Iowa State University Ames, IA 50011 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-08-19 14:40:02 Bayesian network Networks Causality Variable Science Interaction information Statistics Mathematics Statistical models
466	Proceedings of the 16th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2013), The Hague, The Netherlands, October 6-9, 2013 MoB3.2 Add to Reading List Source URL: www.mrt.kit.edu Language: English - Date: 2014-06-13 04:07:58 Statistical models Probability and statistics Mathematics Perception Belief propagation Coding theory Bayesian network Conditional random field Visual perception Graphical models Statistics Bayesian statistics
467	Evidence-Based Clustering for Scalable Inference in Markov Logic Deepak Venugopal and Vibhav Gogate Computer Science Department The University of Texas at Dallas Richardson, USA Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-06-28 05:36:54 Theoretical computer science Bayesian statistics Mathematical logic Graphical models Predicate logic Markov logic network Inference Function Cluster analysis Logic Statistics Mathematics
468	Learning Bayesian Networks for Improved Instruction Cache Analysis Mark Bartlett, Iain Bate and James Cussens Department of Computer Science University of York Heslington, York, UK Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2012-05-02 15:17:24 Computer hardware Computer architecture Central processing unit Bayesian network Networks CPU cache Worst-case execution time Graphical model Cache Statistics Bayesian statistics Statistical models
469	Bayesian Model Averaging Using the k-best Bayesian Network Structures Jin Tian, Ru He and Lavanya Ram Department of Computer Science Iowa State University Ames, IA 50011 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2010-06-14 14:21:41 Bayesian inference Markov chain Graphical model Marginal likelihood Estimation theory Prior probability Particle filter Bayesian inference in phylogeny Statistics Bayesian statistics Bayesian network
470	THE GRAPHICAL MODELS TOOLKIT: AN OPEN SOURCE SOFTWARE SYSTEM FOR SPEECH AND TIME-SERIES PROCESSING Jeff Bilmes and Geoffrey Zweig Department of Electrical Engineering, University of Washington, Seattle WAIBM T. J. Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-02-10 14:51:58 Graphical models Statistical models Bayesian statistics Markov models Networks Hidden Markov model Bayesian network Markov random field Expectation–maximization algorithm Statistics Probability and statistics Probability

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