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Hidden Markov model
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271	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
272	Exact Inference: Elimination and Sum Product (and hidden Markov models) David M. Blei Columbia University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Graphical models Belief propagation Coding theory Probability theory Tree decomposition Static single assignment form Hidden Markov model Maths24 COMPASS/Sample Code Graph theory Mathematics Compiler construction
273	DISCRIMINATIVE DURATION MODELING FOR SPEECH RECOGNITION WITH SEGMENTAL CONDITIONAL RANDOM FIELDS Justine T. Kao Stanford University Symbolic Systems Program Stanford, CA 94309, USA Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-01-24 14:48:35 Computer accessibility Speech recognition Bond duration Hidden Markov model Humanâ€“computer interaction Science Software Computational linguistics Markov models Automatic identification and data capture
274	LINEAR FEATURE SPACE PROJECTIONS FOR SPEAKER ADAPTATION George Saon, Geoffrey Zweig and Mukund Padmanabhan IBM T. J. Watson Research Center, Yorktown Heights, NY, 10598 E-mail: fgsaon,gzweig,, Phone: (9 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-12-20 19:07:22 Statistical classification Linear discriminant analysis Singular value decomposition Projection Speech recognition Hidden Markov model Eigenvalues and eigenvectors Degrees of freedom Statistics Algebra Multivariate statistics
275	COMPUTER SPEECH AND LANGUAGE Computer Speech and Language–193 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2003-06-04 19:06:04 Probability Markov models Graphical models Statistical models Networks Bayesian network Hidden Markov model Markov chain Causality Statistics Bayesian statistics Probability and statistics
276	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
277	Hierarchical POMDP Controller Optimization by Likelihood Maximization Marc Toussaint Laurent Charlin Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-05-22 23:39:54 Tree Science Bioinformatics Hierarchical hidden Markov model Hidden Markov model
278	A FLAT DIRECT MODEL FOR SPEECH RECOGNITION G. Heigold∗ G. Zweig, X. Li, and P. Nguyen Chair of Computer Science 6 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-01-20 01:53:21 Knowledge Computational linguistics Dynamic programming Dynamic time warping Time series analysis Speech recognition Hidden Markov model Relevance Detroit Metropolitan Wayne County Airport Science Statistics Markov models
279	Graphical Models David M. Blei Columbia University September 17, 2014 These lecture notes follow the ideas in Chapter 2 of An Introduction to Probabilistic Graphical Models by Michael Jordan. In addition, many of the fi Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Graphical model Conditional probability distribution Independence Joint probability distribution Conditioning Hidden Markov model Maths24 Probability theory Statistics Probability
280	c 2004 by Kevin Michael Squire. All rights reserved. HMM-BASED SEMANTIC LEARNING FOR A MOBILE ROBOT BY Add to Reading List Source URL: www.isle.illinois.edu Language: English - Date: 2005-05-13 18:11:18 Applied mathematics Bioinformatics Computational linguistics Models of computation Hidden Markov model Speech recognition Artificial neural network Markov chain Hidden semi-Markov model Markov models Statistics Machine learning

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