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Hidden Markov model
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261	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
262	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
263	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
264	UNSUPERVISED CROSS-LINGUAL KNOWLEDGE TRANSFER IN DNN-BASED LVCSR Pawel Swietojanski, Arnab Ghoshal and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB . Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-12-06 15:55:27 Cybernetics Speech recognition Boltzmann machine Perceptron Hidden Markov model Autoencoder Neural networks Machine learning Science
265	Using a Mixture Latent Markov Model to Analyze Longitudinal U.S. Employment Data Involving Measurement Error Jay Magidson,1 Jeroen K. Vermunt,2 and Bac Tran3 (1) Statistical Innovations Inc., Belmont, MA., U.S. (2) Depar Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2008-01-24 10:25:02 Markov processes Categorical data Econometrics Latent class model Expectation–maximization algorithm Hidden Markov model Markov chain Latent variable Markov property Statistics Markov models Statistical models
266	Personalized News Recommendation with Context Trees Florent Garcin Christos Dimitrakakis Boi Faltings Add to Reading List Source URL: liawww.epfl.ch Language: English - Date: 2013-09-26 07:13:25 Science Recommender system Collaborative filtering GroupLens Research Markov chain Information filtering system Hidden Markov model Kalman filter Variable-order Markov model Markov models Statistics Information science
267	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
268	Advances in Large Vocabulary Continuous Speech Recognition Geoffrey Zweig and Michael Picheny IBM T. J. Watson Research Center, Yorktown Heights, NY, 10598 gzweig,picheny @us.ibm.com Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2003-08-08 16:52:56 Science Probability Speech recognition Machine learning Bioinformatics Hidden Markov model Mel-frequency cepstrum N-gram Mixture model Statistics Markov models Computational linguistics
269	1596 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 14, NO. 5, SEPTEMBER 2006 Advances in Speech Transcription at IBM Under the DARPA EARS Program Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-11-14 12:56:40 Computational linguistics Computer accessibility Speech recognition Science Mathematics Hidden Markov model Viterbi algorithm Viterbi decoder Finite-state machine Markov models Error detection and correction Statistics
270	EUROSPEECHGENEVA Toward Domain-Independent Conversational Speech Recognition Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, and Michael Picheny IBM Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-11-22 18:46:06 Science Humanâ€“computer interaction Computer accessibility Speech recognition Mixture model Acoustic model Hidden Markov model Mel-frequency cepstrum Computational linguistics Statistics Automatic identification and data capture

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