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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


Learning Profiles based on Hierarchical Hidden Markov Model Ugo Galassi 1 , Attilio Giordana1, Lorenza Saitta1 , and Maco Botta2 1 Dipartimento di Informatica, Universit`
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Document Date: 2005-09-14 02:53:00


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File Size: 161,71 KB

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City

Alessandria / Valencia / /

Company

Neural Information Processing Systems / Cambridge University Press / /

Country

Italy / Spain / /

Facility

Prentice Hall / Introduction Building / Learning complex / /

IndustryTerm

induction algorithm / forward-backward algorithm / Computer-access security systems / recent algorithm / recent induction algorithm algorithm / viterbi algorithm / basic algorithm / well formalized tool / learning algorithm / purpose algorithm / /

MarketIndex

set 60 / SET 100 / set 20 / set 140 / set 330 / /

Organization

Cambridge University / Group of 20 countries / Pattern Analysis and Machine Intelligence / /

Person

Fine / /

Position

Singer / Singer / and N. Tishby / /

ProgrammingLanguage

L / C / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / Communications of the ACM / /

Technology

learning algorithm / speech recognition / purpose algorithm / classical Baum-Welch algorithm / Viterbi algorithm / recent induction algorithm algorithm / recent algorithm / machine learning / induction algorithm / 3 Learning Algorithm / forward-backward algorithm / /

SocialTag