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Hidden Markov models
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201	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
202	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
203	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
204	➠ ➡ COARTICULATION MODELING BY EMBEDDING A TARGET-DIRECTED HIDDEN TRAJECTORY MODEL INTO HMM Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:41:29 Speech recognition Probability Linguistics Error detection and correction Bioinformatics Hidden Markov model Viterbi algorithm Dynamic programming N-gram Markov models Computational linguistics Science
205	➠ ➡ Refining Segmental Boundaries for TTS Database Using Fine ContextualDependent Boundary Models Lijuan Wang1, Yong Zhao2, Min Chu2, Jianlai Zhou2 and Zhigang Cao1 1 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:41:28 Segmentation Speech recognition Hidden Markov model Humanâ€“computer interaction Decision tree learning Speech synthesis Speech segmentation Computational linguistics Science Artificial intelligence
206	SPEED IMPROVEMENT OF THE TREE-BASED TIME ASYNCHRONOUS SEARCH M. Novak M.Picheny Add to Reading List Source URL: www.isca-speech.org Language: English - Date: 2009-09-21 06:41:19 Error detection and correction Bioinformatics Computational linguistics Science Viterbi algorithm Hidden Markov model Speech recognition Maximum likelihood Likelihood function Markov models Statistics Estimation theory
207	Robust Localization of Persons Based on Learned Motion Patterns Grzegorz Cielniak†‡ † Maren Bennewitz† Add to Reading List Source URL: hrl.informatik.uni-freiburg.de Language: English - Date: 2003-12-15 05:10:20 Robot control Probability and statistics Estimation theory Linear filters Bioinformatics Hidden Markov model ROS Particle filter Mobile robot Markov models Statistics Robotics
208	Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks Uri Nodelman Stanford University Add to Reading List Source URL: robotics.stanford.edu Language: English - Date: 2005-06-05 21:42:42 Exponentials Statistical theory Bayesian statistics Expectation–maximization algorithm Hidden Markov model Bayesian network Exponential family Maximum likelihood Sufficient statistic Statistics Markov models Estimation theory
209	➠ ➡ SPECTROGRAM-BASED FORMANT TRACKING VIA PARTICLE FILTERS Yu Shi and Eric Chang Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:41:27 Probability and statistics Estimation theory Robot control Formant Human voice Particle filter Video tracking Hidden Markov model Importance sampling Statistics Monte Carlo methods Markov models
210	Microsoft Word - A Partially-Hidden Markov Model for the Analysis of Customer Dynamics in CLV-Measurement FIGURE 1.docx Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2014-05-21 05:19:55 Probability and statistics Consumer behaviour Customer lifetime value Marketing Bioinformatics Markov chain Hidden Markov model Stochastic matrix Customer Statistics Markov models Markov processes

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