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Hidden Markov models
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#	Item
151	Importance Sampling Estimates for Policies with Memory Christian R. Shelton MIT, AI Lab 545 Technology Square, NE43-741, Cambridge, MAUSA Abstract Add to Reading List Source URL: www.cs.ucr.edu Language: English - Date: 2003-05-27 20:51:52 Monte Carlo methods Computational statistics Importance sampling Variance reduction Pi Logarithm Hidden Markov model Reinforcement learning Markov models Mathematical analysis Mathematics
152	Hidden-Unit Conditional Random Fields Laurens van der Maaten Max Welling Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2015-06-09 09:51:41 Artificial intelligence Neural networks Graphical models Conditional random field Theoretical computer science Perceptron Hidden Markov model Pattern recognition Part-of-speech tagging Machine learning Markov models Statistics
153	MODEL SELECTION IN A SETTING WITH LATENT VARIABLES Ralf Eggeling1 , Teemu Roos2 , Petri Myllym¨aki2 , Ivo Grosse1 1 Institute for Computer Science, Martin Luther University Halle-Wittenberg, 06099 Halle, GERMANY, {eggel Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-06-26 03:31:11 Bayesian statistics Graphical models Estimation theory Expectation–maximization algorithm Mixture model Hidden Markov model Latent variable Markov chain Bayesian network Statistics Statistical models Markov models
154	Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine George E. Dahl, Marc’Aurelio Ranzato, Abdel-rahman Mohamed, and Geoffrey Hinton Department of Computer Science University of Toronto {gdahl, ranza Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2010-10-31 17:33:50 Markov models Statistical models Data analysis Neural networks Speech recognition Hidden Markov model Boltzmann machine Principal component analysis Covariance matrix Statistics Probability and statistics Machine learning
155	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOITMC, IEEE Tra Add to Reading List Source URL: www-users.cs.umn.edu Language: English - Date: 2014-08-27 04:41:42 Markov chain Finite-state machine Mathematical sciences Applied mathematics Computer science Markov models Bioinformatics Hidden Markov model
156	Adaptive Training for Large Vocabulary Continuous Speech Recognition Kai Yu Hughes Hall College Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:23:54 Statistical models Estimation theory Bayesian statistics Hidden Markov model Speech recognition Expectation–maximization algorithm Bayesian network Variational Bayesian methods Mixture model Statistics Machine learning Markov models
157	INFERENCE ON SPATIAL INFECTIOUS-DISEASE MODELS WITH PLANTATION DATA ALEXANDER REMOROVSUPERVISOR: PROF. JEFFREY ROSENTHAL Add to Reading List Source URL: probability.ca Language: English - Date: 2012-01-02 11:38:06 Probability and statistics Computational statistics Monte Carlo methods Statistical inference Hidden Markov model Markov chain Likelihood function Statistics Markov models Estimation theory
158	A Model-Based Indicator of Musculoskeletal Disorders via Hidden Markov Models as an EMG Pattern Recognition Method (First Draft) Add to Reading List Source URL: probability.ca Language: English - Date: 2004-08-13 14:07:26 Hidden Markov model Speech recognition Markov chain Pattern recognition Electromyography Stochastic process Layered hidden Markov model Hierarchical hidden Markov model Statistics Markov models Science
159	Linear Gaussian Models for Speech Recognition Antti-Veikko Ilmari Rosti Wolfson College May 2004 Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:17:08 Hidden Markov model Kalman filter Markov chain Mixture model Expectation–maximization algorithm Maximum likelihood Generalized method of moments Dynamical system Matrix Statistics Markov models Estimation theory
160	Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation Mingjun Zhong, Nigel Goddard, Charles Sutton School of Informatics University of Edinburgh Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2014-11-07 12:03:01 Convex analysis Convex optimization Markov chain Hidden Markov model Sauk people Cul-de-sac Probability and statistics Mathematical analysis Markov models Mathematical optimization Statistics

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