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Hidden Markov model
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171	Conditional Random Fields with High-Order Features for Sequence Labeling Dan Wu Hai Leong Chieu Nan Ye Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-03-09 06:31:30 Probability and statistics Machine learning Conditional random field Theoretical computer science Markov chain Hidden Markov model Bayesian network Statistics Markov models Graphical models
172	Semi-Markov Conditional Random Field with High-Order Features Viet Cuong Nguyen Nan Ye Wee Sun Lee National University of Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-03-09 06:33:11 Theoretical computer science Statistics Learning Applied mathematics Hidden Markov model Sequence labeling Machine learning Markov models Conditional random field
173	Conditional Random Fields: An Introduction Hanna M. Wallach February 24, 2004 1 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-09-12 21:57:28 Probability theory Statistical theory Graphical models Bayesian statistics Machine learning Conditional random field Hidden Markov model Markov random field Information theory Statistics Probability and statistics Probability
174	FACTORIZED CONTEXT MODELLING FOR TEXT-TO-SPEECH SYNTHESIS Heng Lu, Simon King The Centre for Speech Technology Research, The University of Edinburgh, UK , ABSTRACT Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2013-04-25 21:11:16 Bayesian statistics Markov models Computational linguistics Graphical models Hidden Markov model Bayesian network Speech recognition Mixture model Expectation–maximization algorithm Statistics Statistical models Probability and statistics
175	Similarity-Based Alignment and Generalization Daniel Oblinger, Vittorio Castelli, Tessa Lau, and Lawrence D. Bergman IBM T.J. Watson Research, New York oblio,vittorio,tessalau, Abstract. We present a Add to Reading List Source URL: tlau.org Language: English - Date: 2005-11-29 11:04:24 Machine learning Computational statistics Computational phylogenetics Hidden Markov model Sequence alignment Algorithm Baum–Welch algorithm Markov chain Expectation–maximization algorithm Markov models Statistics Bioinformatics
176	Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational Neuroscience Unit University College London, UK http://www.gatsby.ucl.ac.uk/~zoubin Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2005-11-29 12:55:06 Statistical theory Machine learning Markov models Expectation–maximization algorithm Maximum likelihood Hidden Markov model Mixture model Kullback–Leibler divergence Marginal likelihood Statistics Estimation theory Bayesian statistics
177	A PAC-Bayesian Approach to Minimum Perplexity Language Modeling Mark Hasegawa-Johnson University of Illinois 405 N. Mathews Ave. Urbana, IL 61801, USA Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2014-08-08 12:19:15 Estimation theory Bayesian statistics Multivariate statistics Kullback–Leibler divergence Hidden Markov model Entropy Cluster analysis Expectation–maximization algorithm Cross entropy Statistics Statistical theory Information theory
178	Automatic classification of listening environments in a generalized adaptive hearing aida) Add to Reading List Source URL: www.speech.kth.se Language: English Hearing aid Hearing impairment Health Statistical classification Hidden Markov model Noise Dynamic range compression Medicine Perception Hearing Otology Assistive technology
179	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: jair.org Language: English - Date: 2011-09-06 21:29:44 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
180	A Generative Model for Rhythms Yves Grandvalet CNRS Add to Reading List Source URL: bengio.abracadoudou.com Language: English - Date: 2007-11-01 18:56:14 Markov models Estimation theory Bioinformatics Hidden Markov model Levenshtein distance Expectation–maximization algorithm Cross-validation Mixture model Statistics Machine learning Dynamic programming

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