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Hidden Markov model
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421	Preliminary versions of this paper were presented at ISIT 1997 in Ulm, Germany, on June 30, 1997, and at ISCTA 1997, Ambleside U.K., on July 15, 1997. Draft of 23 Sep[removed]:14 a.m. The Generalized Distributive Law∗ Add to Reading List Source URL: cba.mit.edu Language: English - Date: 2011-12-13 18:50:08 Hidden Markov model Mathematics Science Numerical software COMPASS/Sample Code SYmbolic LinK Ring theory Semiring Vehicle Identification Number
422	Machine Learning for Computer Graphics: A Manifesto and Tutorial Aaron Hertzmann University of Toronto www.dgp.toronto.edu/∼ hertzman Abstract Add to Reading List Source URL: www.dgp.toronto.edu Language: English - Date: 2003-07-24 14:11:35 Machine learning Estimation theory Bayesian inference Bayes factor Regression analysis Bayesian network Expectation–maximization algorithm Regularization Hidden Markov model Statistics Statistical theory Bayesian statistics
423	A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets Robert A. Granat1 Jet Propulsion Laboratory Pasadena CA 91106, USA Abstract. Geophysics research has been faced with a growing need for aut Add to Reading List Source URL: quakes.earth.uq.edu.au Language: English - Date: 2003-03-06 23:37:05 Markov models Markov processes Linear algebra Matrix theory Markov chain Eigenvalues and eigenvectors Hidden Markov model Multivariate normal distribution Normal distribution Algebra Statistics Mathematics
424	HIDDEN-ARTICULATOR MARKOV MODELS FOR SPEECH RECOGNITION Matt Richardson, Jeff Bilmes and Chris Diorio University of Washington {mattr@cs, bilmes@ee, diorio@cs}.washington.edu Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2000-09-29 17:44:21 Speech recognition Voice Phoneme Hidden Markov model Articulation Speech organ Viterbi algorithm Coarticulation Phonetics Linguistics Human voice
425	Iterative Viterbi A* Algorithm for K-Best Sequential Decoding Zhiheng Huang† , Yi Chang, Bo Long, Jean-Francois Crespo† , Anlei Dong, Sathiya Keerthi and Su-Lin Wu Yahoo! Labs 701 First Avenue, Sunnyvale CA 94089, US Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2012-05-07 21:32:35 Mathematics Applied mathematics Viterbi algorithm Convolutional code Sequential decoding Iterative Viterbi decoding Hidden Markov model Dynamic programming Expectation–maximization algorithm Error detection and correction Markov models Statistics
426	Probabilistic Travel Modeling using GPS Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:34:24 Markov models Aerospace engineering Avionics Global Positioning System Missile guidance Surveying Hidden Markov model Decision tree learning Computer simulation Technology Science Military science
427	SRILM — AN EXTENSIBLE LANGUAGE MODELING TOOLKIT Andreas Stolcke Speech Technology and Research Laboratory SRI International, Menlo Park, CA, U.S.A. http://www.speech.sri.com/ ABSTRACT Add to Reading List Source URL: www-speech.sri.com Language: English - Date: 2015-01-30 12:53:24 Linguistics Natural language processing Markov models Statistical natural language processing N-gram Language model Hidden Markov model Bigram Computational linguistics Science Speech recognition
428	A Unified Spatio-Temporal Articulated Model for Tracking Xiangyang Lan Daniel P. Huttenlocher {xylan,dph}@cs.cornell.edu Cornell University Ithaca NY 14853 Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2004-04-06 18:45:58 Probability Hidden Markov model Markov chain Maximum likelihood Conceptual model Economic model Mathematical model Viterbi algorithm View model Markov models Statistics Probability and statistics
429	An Introduction to Statistical Signal Processing f −1 (F ) f Add to Reading List Source URL: dsp-book.narod.ru Language: English - Date: 2013-05-06 00:55:16 Central limit theorem Hidden Markov model Random variable Probability distribution Random walk White noise Variance Multivariate normal distribution Wiener process Statistics Probability theory Stochastic processes
430	Collective Activity Detection using Hinge-loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry Davis University of Maryland College Park, MD 20742 {blondon,sameh,bach,bert,g Add to Reading List Source URL: cvpr13ws.is.tue.mpg.de Language: English - Date: 2013-06-26 12:59:39 Artificial intelligence Statistics Bayesian statistics Graphical models Markov models Markov random field Hidden Markov model Activity recognition Causality Science Probability Theoretical computer science

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