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Hierarchical hidden Markov model
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#	Item
11	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:13 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
12	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: jmlr.csail.mit.edu Language: English - Date: 2011-06-30 04:29:57 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
13	EDY: an Algorithm for Discovering Complex Events in Symbolic Sequences Ugo Galassi Dipartimento di Informatica, Universit` Add to Reading List Source URL: www.ugogalassi.net Language: English - Date: 2006-06-20 00:53:48 Statistics Applied mathematics Hierarchical hidden Markov model Hidden Markov model Sequence analysis Speech recognition Viterbi algorithm Bioinformatics Markov models Science
14	Experimental Evaluation of Hierarchical Hidden Markov Models Add to Reading List Source URL: www.ugogalassi.net Language: English - Date: 2006-07-10 07:59:36 Hierarchical hidden Markov model Hidden Markov model Speech recognition Forward–backward algorithm Bayesian network Pattern recognition Baum–Welch algorithm Statistics Markov models Probability and statistics
15	Learning Process Behavior with EDY: an Experimental Analysis Ugo GALASSI a a Dipartimento di Informatica, Università Amedeo Avogadro Via Bellini 25G, Alessandria, Italy Add to Reading List Source URL: www.ugogalassi.net Language: English - Date: 2008-06-08 21:18:19 Probability Hierarchical hidden Markov model Hidden Markov model Pattern recognition Viterbi algorithm Markov chain Baum–Welch algorithm Markov models Statistics Probability and statistics
16	Learning User Profile from Traces Ugo Galassi, Attilio Giordana and Dino Mendola Dipartimento di Informatica, Universit`a del Piemonte Orientale Spalto Marengo 33, Alessandria, Italy Abstract This paper presents a method Add to Reading List Source URL: www.ugogalassi.net Language: English - Date: 2005-09-14 02:53:00 Probability and statistics Machine learning Bioinformatics Computational linguistics Hidden Markov model Pattern recognition Speech recognition Bayesian network Forward–backward algorithm Statistics Markov models Hierarchical hidden Markov model
17	Learning Profiles based on Hierarchical Hidden Markov Model Ugo Galassi 1 , Attilio Giordana1, Lorenza Saitta1 , and Maco Botta2 1 Dipartimento di Informatica, Universit` Add to Reading List Source URL: www.ugogalassi.net Language: English - Date: 2005-09-14 02:53:00 Hierarchical hidden Markov model Hidden Markov model Pattern recognition Viterbi algorithm Speech recognition Forward–backward algorithm Baum–Welch algorithm Bayesian network Markov models Statistics Probability and statistics
18	Learning Complex and Sparse Events in Long Sequences Marco Botta1 and Ugo Galassi 2 and Attilio Giordana 3 Abstract. The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex pattern Add to Reading List Source URL: www.ugogalassi.net Language: English - Date: 2005-09-14 02:53:00 Bioinformatics Probability and statistics Hierarchical hidden Markov model Hidden Markov model Viterbi algorithm Sequence alignment Speech recognition Baum–Welch algorithm Pattern recognition Markov models Statistics Science
19	Incremental Construction of Structured Hidden Markov Models Hidden Markov Model, Sequence Analysis, Data Mining Abstract This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from Add to Reading List Source URL: www.ugogalassi.net Language: English - Date: 2006-06-29 20:22:04 Bioinformatics Probability and statistics Error detection and correction Dynamic programming Hidden Markov model Hierarchical hidden Markov model Markov chain Speech recognition Viterbi algorithm Statistics Markov models Machine learning
20	Efficient probabilistic models for inference and learning Individual Grant Review Report EPSRC grant GR/N07394 Peter A. Flach Department of Computer Science, University of Bristol Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:10:48 Bayesian network Bayesian inference Bayesian probability Machine learning Hierarchical Bayes model Hidden Markov model Causality Naive Bayes classifier Gibbs sampling Statistics Bayesian statistics Probabilistic logic

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