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Graphical models
Results: 1083

#	Item
471	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
472	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
473	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
474	Hidden Variable Structures for Training and Decoding with Graphical Models in ASR Geoff Zweig CLSP WS01 Talk July 6, 2001 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2008-04-15 16:02:42 N-gram Natural language processing Science Artificial intelligence Speech recognition Computational linguistics Linguistics
475	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
476	Ecology, 84(11), 2003, pp. 3055–3063 q 2003 by the Ecological Society of America META-ANALYSIS OF ANIMAL MOVEMENT USING STATE-SPACE MODELS IAN D. JONSEN,1,3 RANSOM A. MYERS,1 Add to Reading List Source URL: www.fmap.ca Language: English - Date: 2011-04-09 11:26:20 Econometrics Graphical models Parametric statistics Bayes factor Statistical model Kalman filter Meta-analysis Hierarchical Bayes model Autoregressive conditional heteroskedasticity Statistics Statistical theory Bayesian statistics
477	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
478	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
479	A Segmental CRF Approach to Large Vocabulary Continuous Speech Recognition Geoffrey Zweig and Patrick Nguyen Microsoft Research, Redmond, WA {gzweig,panguyen}@microsoft.com Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-09-05 12:53:28 Computational linguistics Statistical natural language processing Graphical models Theoretical computer science Maximum-entropy Markov model Speech recognition N-gram Conditional random field Hidden Markov model Markov models Probability Statistics
480	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

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