Hidden Markov model

Results: 908



#Item
21iParameterEstimation User Guide Bob Zimmermann Washington University in St. Louis Box 1045 One Brookings Drive St. Louis, MO 63130

iParameterEstimation User Guide Bob Zimmermann Washington University in St. Louis Box 1045 One Brookings Drive St. Louis, MO 63130

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Source URL: mblab.wustl.edu

Language: English - Date: 2012-03-01 15:55:40
22COMBINING 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: {

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: {

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Source URL: mi.eng.cam.ac.uk

Language: English - Date: 2016-04-05 12:13:29
23Learning Semantic Representations with Hidden Markov Topics Models Mark Andrews () Gabriella Vigliocco () Cognitive, Perceptual and Brain Sciences University College London,

Learning Semantic Representations with Hidden Markov Topics Models Mark Andrews () Gabriella Vigliocco () Cognitive, Perceptual and Brain Sciences University College London,

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Source URL: www.mjandrews.net

Language: English - Date: 2014-12-16 12:40:25
24A Dis
rete Probabilisti
 Memory Model for Dis
overing Dependen
ies in Time Sepp Ho
hreiter and Mi
hael C. Mozer Department of Computer S
ien
e University of Colorado Boulder, CO 80309{0430

A Dis rete Probabilisti Memory Model for Dis overing Dependen ies in Time Sepp Ho hreiter and Mi hael C. Mozer Department of Computer S ien e University of Colorado Boulder, CO 80309{0430

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:25:21
25depmixS4  A flexible package to estimate mixture and hidden Markov models Maarten Speekenbrink () and Ingmar Visser LondonR, 10 September 2013

depmixS4 A flexible package to estimate mixture and hidden Markov models Maarten Speekenbrink () and Ingmar Visser LondonR, 10 September 2013

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Source URL: www.londonr.org

Language: English - Date: 2015-08-12 07:29:07
26Coupled Dirichlet Processes: Beyond HDP  John Fisher MIT CSAIL

Coupled Dirichlet Processes: Beyond HDP John Fisher MIT CSAIL

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Source URL: dahua.me

Language: English - Date: 2013-01-06 22:23:38
27Hidden Markov Models: All the Glorious Gory Details Noah A. Smith Department of Computer Science Johns Hopkins University

Hidden Markov Models: All the Glorious Gory Details Noah A. Smith Department of Computer Science Johns Hopkins University

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Source URL: homes.cs.washington.edu

Language: English - Date: 2015-07-30 17:51:19
28The variational hierarchical EM algorithm for clustering hidden Markov models Emanuele Coviello ECE Dept., UC San Diego

The variational hierarchical EM algorithm for clustering hidden Markov models Emanuele Coviello ECE Dept., UC San Diego

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:26
29Minimum trajectory error training for deep neural networks, combined with stacked bottleneck features Zhizheng Wu Simon King

Minimum trajectory error training for deep neural networks, combined with stacked bottleneck features Zhizheng Wu Simon King

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Source URL: www.cstr.inf.ed.ac.uk

Language: English
30c SMLI TR2004-0811 
2004 SUN MICROSYSTEMS INC. 1

c SMLI TR2004-0811 2004 SUN MICROSYSTEMS INC. 1

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Source URL: twiki.di.uniroma1.it

Language: English - Date: 2013-04-15 06:40:50