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Hierarchical hidden Markov model
Results: 57

#	Item
31	Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Latent Dirichlet allocation Dynamic topic model Variational Bayesian methods Topic model Hidden Markov model Calculus of variations Mixture model Bayesian inference Dirichlet process Statistics Statistical natural language processing Bayesian statistics
32	DATA-DRIVEN RECOMPOSITION USING THE HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL Matthew D. Hoffman† , Perry R. Cook†‡ , David M. Blei† Princeton University †Dept. of Computer Science ‡Dept. of Music Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Probability and statistics Hidden Markov model Markov chain Speech recognition Stochastic matrix Viterbi algorithm Expectation–maximization algorithm Gibbs sampling Hierarchical hidden Markov model Markov models Statistics Machine learning
33	Hierarchical Linear/Constant Time SLAM Using Particle Filters for Dense Maps Austin I. Eliazar Ronald Parr Department of Computer Science Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2005-12-06 12:38:23 Markov models Cybernetics Control theory Simultaneous localization and mapping Particle filter Kalman filter Robotic mapping Occupancy grid mapping Hidden Markov model Robot control Robot navigation Statistics
34	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 26, NO. 3, MARCH 2004 Add to Reading List Source URL: lmb.informatik.uni-freiburg.de Language: English Markov models Cluster analysis Data mining Dynamic time warping Hierarchical clustering Hidden Markov model Viterbi algorithm Statistical classification K-means clustering Statistics Machine learning Dynamic programming
35	Online, Real-time Tracking and Recognition of Human Actions ∗ Pradeep Natarajan, Ramakant Nevatia Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA[removed] {pnataraj, Add to Reading List Source URL: iris.usc.edu Language: English - Date: 2009-11-16 12:39:48 Probability and statistics Hierarchical hidden Markov model Hidden Markov model Viterbi algorithm Speech recognition Markov chain Forward–backward algorithm Graphical model Gesture recognition Markov models Statistics Machine learning
36	A Systematic Bayesian Treatment of the IBM Alignment Models Yarin Gal Department of Engineering University of Cambridge Cambridge, CB2 1PZ, United Kingdom [removed] Add to Reading List Source URL: aclweb.org Language: English - Date: 2013-05-18 12:41:37 Markov models Bayesian statistics Stochastic processes Statistical machine translation Hidden Markov model Bitext word alignment Dirichlet process Language model Hierarchical Bayes model Statistics Machine translation Statistical natural language processing
37	Hierarchical Topic Models and the Nested Chinese Restaurant Process David M. Blei [removed] Thomas L. Griffiths Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:54 Latent Dirichlet allocation Dirichlet process Mixture model Chinese restaurant process Topic model Hidden Markov model Hierarchy Information retrieval Bayes factor Statistics Statistical natural language processing Stochastic processes
38	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 13:02:02 Regression analysis Categorical data Estimation theory Expectation–maximization algorithm Mixture model Latent class model Mixture distribution Hidden Markov model Markov chain Statistics Statistical models Markov models
39	Microsoft Word - hierarchical-parallel-markov.doc Add to Reading List Source URL: robert.zubek.net Language: English - Date: 2007-04-21 19:40:16 Markov processes Hierarchical hidden Markov model Hidden Markov model Finite-state machine Speech recognition Partially observable Markov decision process Statistics Markov models Computational linguistics
40	NIPS’01 The Use of Classifiers in Sequential Inference Vasin Punyakanok Dan Roth Add to Reading List Source URL: l2r.cs.uiuc.edu Language: English - Date: 2007-06-05 00:17:49 Statistical classification Hidden Markov model Maximum-entropy Markov model Naive Bayes classifier Classifier Speech recognition Markov chain Hierarchical hidden Markov model Statistics Markov models Machine learning