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Hidden Markov models
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#	Item
41	Assessing Goodness-of-fit in Hidden Markov Models Andrew Titman Lancaster University October 18, 2012 Add to Reading List Source URL: www.maths.lancs.ac.uk Language: English - Date: 2012-10-16 12:38:15 Markov models Probability theory Probability Mathematical analysis Markov processes Stochastic processes Bioinformatics Hidden Markov model Markov chain Markov property Time series Ergodicity
42	iParameterEstimation User Guide Bob Zimmermann Washington University in St. Louis Box 1045 One Brookings Drive St. Louis, MO 63130 Add to Reading List Source URL: mblab.wustl.edu Language: English - Date: 2012-03-01 15:55:40 Markov models Statistics Estimation theory Applied mathematics Hidden Markov model Parameter Expectationmaximization algorithm Markov chain HTML element Maximum likelihood estimation
43	COMBINING I-VECTOR REPRESENTATION AND STRUCTURED NEURAL NETWORKS FOR RAPID ADAPTATION Chunyang Wu, Penny Karanasou, Mark J.F. Gales Cambridge University Engineering Dept, Trumpington St., Cambridge, CB2 1PZ U.K. Email: { Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-04-05 12:13:29 Machine learning Automatic identification and data capture Artificial intelligence Humancomputer interaction Markov models Artificial neural networks Computational neuroscience Computer accessibility Speech recognition Perceptron Speaker recognition Hidden Markov model
44	Learning Semantic Representations with Hidden Markov Topics Models Mark Andrews () Gabriella Vigliocco () Cognitive, Perceptual and Brain Sciences University College London, Add to Reading List Source URL: www.mjandrews.net Language: English - Date: 2014-12-16 12:40:25 Statistics Probability Machine learning Statistical natural language processing Statistical models Markov models Probability distributions Latent Dirichlet allocation Dirichlet distribution Topic model Mixture model Gibbs sampling
45	depmixS4 A flexible package to estimate mixture and hidden Markov models Maarten Speekenbrink () and Ingmar Visser LondonR, 10 September 2013 Add to Reading List Source URL: www.londonr.org Language: English - Date: 2015-08-12 07:29:07 Probability Markov models Statistics Machine learning Statistical models Cluster analysis Mixture model Hidden Markov model Markov chain Mixture distribution
46	Hidden Markov Models: All the Glorious Gory Details Noah A. Smith Department of Computer Science Johns Hopkins University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:51:19 Markov models Probability Mathematical analysis Viterbi algorithm Forward algorithm Hidden Markov model Forwardbackward algorithm Markov chain Dynamic programming BaumWelch algorithm Expected value Mamuka Gongadze
47	The variational hierarchical EM algorithm for clustering hidden Markov models Emanuele Coviello ECE Dept., UC San Diego Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Machine learning Statistics Markov models Artificial intelligence Estimation theory Expectationmaximization algorithm Missing data Hidden Markov model BaumWelch algorithm Forward algorithm Cluster analysis Mixture model
48	c SMLI TR2004-0811 2004 SUN MICROSYSTEMS INC. 1 Add to Reading List Source URL: twiki.di.uniroma1.it Language: English - Date: 2013-04-15 06:40:50 Markov models Software Computing Speech recognition software Humancomputer interaction Computational linguistics CMU Sphinx Speech recognition Sphinx Viterbi algorithm CMU Pronouncing Dictionary Hidden Markov model
49	POS Tagging Def. Part of Speech Tagging POS Tagging Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2015-09-29 08:40:34 Linguistics Markov models Natural language processing Part-of-speech tagging Word-sense disambiguation Plural Part of speech Hidden Markov model Grammatical particle Bigram Brown Corpus
50	Journal of Machine Learning Research747 Submitted 10/12; Revised 6/13; Published 2/14 Clustering Hidden Markov Models with Variational HEM Emanuele Coviello Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Statistics Markov models Machine learning Artificial intelligence Expectationmaximization algorithm Hidden Markov model BaumWelch algorithm Forward algorithm Mixture model Speech recognition Cluster analysis K-means clustering