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Markov models
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611	review articles doi:What are Bayesian networks and why are their applications growing across all fields? by Adnan Darwiche Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-08-31 09:39:22 Statistical models Networks Bayesian network Artificial intelligence Markov random field Hidden Markov model Naive Bayes classifier Machine learning Bayes factor Statistics Bayesian statistics Graphical models
612	A Speaker Verification System Under The Scope: Alize Ett system för talarverifiering under luppen: Alize TOMMIE GANNERT Add to Reading List Source URL: www.speech.kth.se Language: English Speech processing Machine learning Statistical models Biometrics Speaker recognition Hidden Markov model Speech recognition Mixture model Normal distribution Statistics Probability and statistics Automatic identification and data capture
613	Recognizing Complex, Parameterized Gestures from Monocular Image Sequences Tobias Axenbeck 1 , Maren Bennewitz 1 , Sven Behnke 2 , and Wolfram Burgard 1 1 Institute for Computer Science, University of Freiburg, Germany Add to Reading List Source URL: hrl.informatik.uni-freiburg.de Language: English - Date: 2008-10-21 07:37:22 Artificial intelligence Gesture recognition Virtual reality Gesture Musical gesture Statistics Hidden Markov model Viterbi algorithm Nod Markov models Gestures User interface techniques
614	Latent Class Models in Longitudinal Research Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Bac Tran U.S. Census Bureau Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2008-01-22 12:06:02 Markov processes Categorical data Econometrics Latent class model Latent variable Expectation–maximization algorithm Hidden Markov model Markov chain Mixture model Statistics Statistical models Markov models
615	International Mathematical Forum, Vol. 7, 2012, no. 58, Extended Viterbi Algorithm for Hidden Markov Process: A Transient/Steady Probabilities Approach Reza A. Soltan and Mehdi Ahmadian1 Add to Reading List Source URL: www.m-hikari.com Language: English - Date: 2012-09-13 07:23:57 Hidden Markov model Viterbi algorithm Markov chain Speech recognition Markov process Markov models Statistics Probability and statistics
616	Structured Generative Models of Natural Source Code Chris J. Maddison† University of Toronto CMADDIS @ CS . TORONTO . EDU Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-06-20 04:13:18 Graphical models Bayesian statistics Machine learning Tree traversal Generative model Bayesian network Latent variable Hidden Markov model N-gram Statistics Statistical models Probability
617	DOMINANCE THEOREMS AND ERGODIC PROPERTIES OF POLLING SYSTEMS1 S. G. Foss and N. I. Chernova We consider a class of polling systems with stationary ergodic input flow such that the control in a system obeys a certain rege Add to Reading List Source URL: math.nsc.ru Language: English - Date: 2005-09-16 03:23:50 Calculus Continuous function Markov chain Ergodic theory Mathematics Control theory Itō diffusion Μ operator Mathematical analysis Markov models Stochastic differential equations
618	Copyright © 2013 by Statistical Innovations Inc. All rights reserved. (version: Markov Tutorial #1: Latent GOLD Longitudinal Analysis of Brand Loyalty Download Demo Version Overview Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2013-09-17 11:23:03 Econometrics Regression analysis Statistical methods Markov chain Latent class model Hidden Markov model Structural equation modeling Statistics Markov models Categorical data
619	Journal of Machine Learning Research1009 Submitted 10/12; Revised 9/13; Published 3/14 Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-07-04 08:25:36 Statistics Applied mathematics Probability Graphical models Conditional random field Hidden Markov model Segmentation Algorithm Normal distribution Markov models Machine learning Theoretical computer science
620	Genetic Programming as Policy Search in Markov Decision Processes Chris Gearhart P.O. BoxStanford, CA 94309 Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2006-11-17 21:29:08 Probability and statistics Markov processes Stochastic control Markov models Mathematical optimization Reinforcement learning Markov decision process Automated planning and scheduling Bellman equation Statistics Mathematics Dynamic programming

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