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Hidden Markov models
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#	Item
631	Adaptive Training for Large Vocabulary Continuous Speech Recognition Kai Yu Hughes Hall College Add to Reading List Source URL: mi.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
632	doi:[removed]j.tics[removed] Add to Reading List Source URL: www.chd.ucsd.edu Language: English - Date: 2011-10-21 18:00:00 Statistical models Computational neuroscience Boltzmann machine Generative model Artificial neural network Supervised learning Wake-sleep algorithm Hidden Markov model Diffusion networks Statistics Neural networks Machine learning
633	Multiple Model Tracking by Imprecise Markov Trees Alessandro Antonucci and Alessio Benavoli and Marco Zaffalon IDSIA, Switzerland {alessandro,alessio,zaffalon}@idsia.ch Gert de Cooman and Filip Hermans SYSTeMS, Ghent Uni Add to Reading List Source URL: www.idsia.ch Language: English - Date: 2011-09-05 10:48:56 Bayesian statistics Statistical models Markov processes Bioinformatics Hidden Markov model Kalman filter Probabilistic logic Bayesian network Estimation theory Statistics Markov models Probability and statistics
634	How Well Do Markov Switching Models Describe Actual Business Cycles? The Case of Synchronization* Penelope A. Smith and Peter M. Summers Melbourne Institute of Applied Economic and Social Research The University of Melbo Add to Reading List Source URL: www.melbourneinstitute.com Language: English - Date: 2010-05-06 00:06:46 Markov processes Markov chain Gibbs sampling Regression analysis Vector autoregression Estimation theory Hidden Markov model Statistics Markov models Econometrics
635	Development of Gait Segmentation Methods for Wearable Foot Pressure Sensors Add to Reading List Source URL: www.cyberlegs.eu Language: English - Date: 2013-05-23 03:29:26 Walking Markov models Biometrics Gait analysis Orthopedic surgery Pedobarography Gait Hidden Markov model Segmentation Medicine Locomotion Motion
636	How Well Do Markov Switching Models Describe Actual Business Cycles? The Case of Synchronization* Penelope A. Smith and Peter M. Summers Melbourne Institute of Applied Economic and Social Research The University of Melbo Add to Reading List Source URL: melbourneinstitute.com Language: English - Date: 2010-05-06 00:06:46 Markov processes Markov chain Gibbs sampling Regression analysis Vector autoregression Estimation theory Hidden Markov model Statistics Markov models Econometrics
637	Bioinformatics Ane Books Pvt. Ltd. BIOINFORMATICS Add to Reading List Source URL: www.anebooks.com Language: English - Date: 2013-07-01 03:11:11 Applied mathematics Biology Computational biology Formal sciences Mathematical and theoretical biology Sequence alignment Markov chain Sequence analysis Hidden Markov model Bioinformatics Science Markov models
638	Second order Markov mesh models described as Markov Random Fields Note no Add to Reading List Source URL: publications.nr.no Language: English - Date: 2011-02-11 06:14:53 Probability Artificial intelligence Networks Probability theory Theoretical computer science Markov random field Random field Markov chain Hidden Markov model Statistics Markov models Probability and statistics
639	GENERALISED MIXTURE ESTIMATION AND UNSUPERVISED CLASSIFICATION BASED ON HIDDEN MARKOV CHAINS AND HIDDEN MARKOV RANDOM FIELDS Roger Fjørtoft, Wojciech Pieczynski and Yves Delignon [removed], Norwegian Computin Add to Reading List Source URL: publications.nr.no Language: English - Date: 2011-02-11 06:14:53 Artificial intelligence Machine learning Signal processing Maximum a posteriori estimation Expectation–maximization algorithm Pattern recognition Markov chain Markov random field Segmentation Statistics Estimation theory Markov models
640	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Unsupervised Classification of Radar Images Using Hidden Markov Chains and Hidden Add to Reading List Source URL: publications.nr.no Language: English - Date: 2011-02-11 06:14:50 Artificial intelligence Probability theory Networks Theoretical computer science Markov chain Markov random field Gibbs sampling Estimation theory Maximum a posteriori estimation Statistics Markov models Probability and statistics