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Results: 650

#	Item
211	AND/OR Search Spaces for Graphical Models Rina Dechter and Robert Mateescu Donald Bren School of Information and Computer Science University of California, Irvine, CAAbstract Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2006-11-07 17:35:27 Constraint programming Bayesian statistics Statistical models Networks Tree decomposition Bayesian network Constraint satisfaction Markov random field Graph Graph theory Mathematics Graphical models
212	SCARF: A Segmental Conditional Random Field Toolkit for Speech Recognition Geoffrey Zweig and Patrick Nguyen Microsoft Corporation One Microsoft Way, Redmond, WAgzweig, Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2010-05-11 19:52:41 Speech recognition Probability Markov models Statistical natural language processing Phonetics Conditional random field N-gram Language model Acoustic model Computational linguistics Linguistics Science
213	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
214	Microsoft Word - JulianBesagSymposiumAbstracts.doc Add to Reading List Source URL: sustain.bris.ac.uk Language: English - Date: 2011-03-31 09:12:58 Julian Besag Markov processes Spatial data analysis Markov chain Monte Carlo Random field Markov chain Spatial analysis Stochastic Risk factors for breast cancer Statistics Markov models Fellows of the Royal Society
215	Control and Detection of Singlet-Triplet Mixing in a Random Nuclear Field F. H. L. Koppens et al. Science 309, ); DOI: science Add to Reading List Source URL: vandersypenlab.tudelft.nl Language: English - Date: 2012-07-27 06:21:14 Dynamic nuclear polarisation Hyperfine structure Spintronics Magnetism Singlet state Physics Quantum mechanics Rotational symmetry
216	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
217	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
218	DISCRIMINATIVE TRAINING OF DECODING GRAPHS FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION Hong-Kwang Jeff Kuo, Brian Kingsbury Geoffrey Zweig Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-09-29 19:52:14 Applied mathematics Automatic identification and data capture Computer accessibility Speech recognition Science Graph Perceptron Conditional random field Hidden Markov model Computational linguistics Mathematics Neural networks
219	RECURRENT CONDITIONAL RANDOM FIELD FOR LANGUAGE UNDERSTANDING Kaisheng Yao1 , Baolin Peng1,2 , Geoffrey Zweig1 , Dong Yu1 , Xiaolong Li1 , and Feng Gao1 1 2 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2014-05-22 12:57:20 Artificial intelligence Applied mathematics Computational neuroscience Conditional random field Theoretical computer science Recurrent neural network Information extraction Speech recognition Dynamic programming Neural networks Science Cybernetics
220	Open Access et al. Smith 2008 Volume Add to Reading List Source URL: www.genomebiology.com Language: English Bioinformatics Logic Markov models Natural language processing Information science BioCreative Part-of-speech tagging Conditional random field Word-sense disambiguation Science Computational linguistics Linguistics

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