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MINIMUM DESCRIPTION LENGTH BASED HIDDEN MARKOV MODEL CLUSTERING FOR LIFE SEQUENCE ANALYSIS Jouni Helske1 , Mervi Eerola2 , Ioan Tabus1 1 Department of Signal Processing, Tampere University of Technology,
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Document Date: 2010-08-12 11:09:05


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File Size: 1,30 MB

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City

Tampere / Vienna / /

Company

Neural Information Processing Systems / Knowledge Based Intelligent Engineering Systems / Cambridge University Press / MIT Press / /

Country

Austria / Finland / /

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Facility

University of Helsinki / Tampere University of Technology / University of Jyväskylä P.O.Box / University of Jyväskylä / /

IndustryTerm

iterative algorithm / agglomerative algorithm / social science applications / search space / /

Organization

Cambridge University / Tampere University of Technology / National Park Service / Methodology Centre for Human Sciences / Foundation for Statistical Computing / MIT / Department of Signal Processing / University of Jyväskylä P.O.Box / University of Helsinki / FIN-40014 University of Jyväskylä / /

Person

M. Bicego / V / /

ProgrammingLanguage

K / /

PublishedMedium

Machine Learning / /

Technology

Matryoshka algorithm / speech recognition / Viterbi algorithm / Baum-Welch algorithm / agglomerative algorithm / usual Baum-Welch algorithm / Data Mining / iterative algorithm / Machine Learning / /