Hidden Markov models

Results: 740



#Item
31Hidden Markov Models Markov Models Hidden Markov Models

Hidden Markov Models Markov Models Hidden Markov Models

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Source URL: cl.indiana.edu

Language: English - Date: 2015-09-29 10:41:43
32Mean Field Variational Approximations in Continuous-Time Markov Processes A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science

Mean Field Variational Approximations in Continuous-Time Markov Processes A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science

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Source URL: www.cs.huji.ac.il

Language: English - Date: 2015-08-10 08:23:20
33STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom In this paper,

STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom In this paper,

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

Language: English - Date: 2016-03-11 05:30:19
34Profile	
  HMMs	
   Tandy	
  Warnow	
   BioE/CS	
  598AGB	
   Profile	
  Hidden	
  Markov	
  Models	
   Basic	
  tool	
  in	
  sequence	
  analysis	
  

Profile  HMMs   Tandy  Warnow   BioE/CS  598AGB   Profile  Hidden  Markov  Models   Basic  tool  in  sequence  analysis  

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Source URL: tandy.cs.illinois.edu

Language: English - Date: 2015-02-26 08:11:41
35A STATISTICAL MODEL FOR PREDICTING PRONUNCIATION Florian Schiel Bavarian Archive of Speech Signals, Munich   ABSTRACT

A STATISTICAL MODEL FOR PREDICTING PRONUNCIATION Florian Schiel Bavarian Archive of Speech Signals, Munich ABSTRACT

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Source URL: www.phonetik.uni-muenchen.de

Language: English - Date: 2015-08-18 05:11:02
36Spectral Bayesian Knowledge Tracing Mohammad Falakmasir Michael Yudelson  University of Pittsburgh

Spectral Bayesian Knowledge Tracing Mohammad Falakmasir Michael Yudelson University of Pittsburgh

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Source URL: people.cs.pitt.edu

Language: English - Date: 2015-09-28 15:39:44
37Interactive HMM construction based on interesting sequences Szymon Jaroszewicz National Institute of Telecommunications Warsaw, Poland

Interactive HMM construction based on interesting sequences Szymon Jaroszewicz National Institute of Telecommunications Warsaw, Poland

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Source URL: www.ke.tu-darmstadt.de

Language: English - Date: 2009-11-06 11:55:58
38IN PARTNERSHIP WITH: CNRS Institut polytechnique de Grenoble Université Joseph Fourier (Grenoble)

IN PARTNERSHIP WITH: CNRS Institut polytechnique de Grenoble Université Joseph Fourier (Grenoble)

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Source URL: mistis.inrialpes.fr

Language: English - Date: 2015-07-01 09:34:51
39PARTICLE FILTERS FOR EFFICIENT METER TRACKING WITH DYNAMIC BAYESIAN NETWORKS Ajay Srinivasamurthy∗ Andre Holzapfel†

PARTICLE FILTERS FOR EFFICIENT METER TRACKING WITH DYNAMIC BAYESIAN NETWORKS Ajay Srinivasamurthy∗ Andre Holzapfel†

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Source URL: www.rhythmos.org

Language: English - Date: 2015-07-18 05:41:54
40Parameter Estimation for HMMs Parameter Estimation

Parameter Estimation for HMMs Parameter Estimation

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Source URL: cl.indiana.edu

Language: English - Date: 2015-10-05 15:52:46