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Hidden Markov models
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#	Item
131	2006 Paper 9 Question 13 Bioinformatics (a) Hidden Markov models (HMM) are widely used in Bioinformatics. (i ) In a HMM when would you use the Baum–Welch algorithm, and when the Viterbi algorithm, and why? Give biolog Add to Reading List Source URL: www.cl.cam.ac.uk - Date: 2014-06-09 10:18:15
132	INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE Project-Team mistis Modelling and Inference of Complex and Structured Stochastic Systems Grenoble - Rhône-Alpes Add to Reading List Source URL: mistis.inrialpes.fr Language: English - Date: 2014-09-23 04:38:29 Machine learning Markov models Robust statistics Mixture model Non-parametric statistics Markov chain Parametric statistics Hidden Markov model Regression analysis Statistics Statistical inference Statistical models
133	Infinite Hierarchical Hidden Markov Models Katherine A. Heller Engineering Department University of Cambridge Cambridge, UK Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2009-04-21 20:43:32
134	Accelerated Profile HMM Searches Sean R. Eddy * HHMI Janelia Farm Research Campus, Ashburn, Virginia, United States of America Abstract Profile hidden Markov models (profile HMMs) and probabilistic inference methods have Add to Reading List Source URL: selab.janelia.org Language: English - Date: 2014-09-02 13:41:21
135	IN PARTNERSHIP WITH: CNRS Institut polytechnique de Grenoble Université Joseph Fourier (Grenoble 1) Add to Reading List Source URL: mistis.inrialpes.fr Language: English - Date: 2014-09-23 04:37:49 Estimation theory Statistical theory Markov models Mixture model Non-parametric statistics Parametric statistics Markov chain Hidden Markov model Regression analysis Statistics Statistical inference Statistical models
136	IN PARTNERSHIP WITH: CNRS Institut polytechnique de Grenoble Université Joseph Fourier (Grenoble) Add to Reading List Source URL: mistis.inrialpes.fr Language: English - Date: 2014-09-23 04:37:31 Statistical models Markov models Statistical theory Mixture model Markov chain Parametric statistics Regression analysis Hidden Markov model Expectation–maximization algorithm Statistics Statistical inference Estimation theory
137	Department of Engineering 1 Generative Kernels and Score-Spaces for Classification of Speech: Progress Report iii R. C. van Dalen Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2015-06-01 10:12:17 Probability and statistics Computational linguistics Artificial intelligence Generative model Hidden Markov model Speech recognition Discriminative model Machine learning Statistics Markov models
138	The International Journal of Robotics Research http://ijr.sagepub.com FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance Mark Cummins and Paul Newman Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2008-06-05 17:09:37 Stochastic processes Cluster analysis Mixture model Hidden Markov model Naive Bayes classifier Variational Bayesian methods Random walk Causality Kullback–Leibler divergence Statistics Bayesian statistics Markov models
139	HIDDEN MARKOV MODELS FOR INDUCTION OF MORPHOLOGICAL STRUCTURE OF NATURAL LANGUAGE Hannes Wettig, Suvi Hiltunen and Roman Yangarber Department of Computer Science, University of Helsinki, Finland Add to Reading List Source URL: sp.cs.tut.fi Language: English - Date: 2010-08-12 11:09:05
140	THE CU-HTK MARCH 2000 HUB5E TRANSCRIPTION SYSTEM T. Hain, P.C. Woodland, G. Evermann & D. Povey Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ, UK e-mail: {th223,pcw,ge204,dp10006}@en Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2000-10-05 12:43:31 Science Linguistics Estimation theory Markov models Statistical theory Acoustic model Maximum likelihood Hidden Markov model HTK Speech recognition Computational linguistics Statistics