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Hidden Markov model / Dirichlet process / Mixture model / Conjugate prior / Dirichlet distribution / Statistics / Probability and statistics / Bioinformatics


An HDP-HMM for Systems with State Persistence Emily B. Fox Department of EECS, Massachusetts Institute of Technology, Cambridge, MAErik B. Sudderth Department of EECS, University of California, Berkeley, CA 94720
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Document Date: 2012-07-06 10:47:50

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City

Cambridge / Helsinki / /

Company

Xing / /

Country

Finland / /

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Facility

Massachusetts Institute of Technology / University of California / /

IndustryTerm

real-world applications / non-speech pre-processing / inference algorithm / consistent inference algorithm / driven learning algorithms / sampling algorithm / classical applications / computing / finance / learning algorithms / /

Organization

State Persistence Emily B. Fox Department of EECS / Department of EECS / Erik B. Sudderth Department of EECS / Alan S. Willsky Department of EECS / Department of Statistics / University of California / Berkeley / Massachusetts Institute of Technology / U.S. Securities and Exchange Commission / /

Person

Michael I. Jordan / Emily B. Fox / Mel Frequency Cepstral Coefficients / Rao-Blackwellized Gibbs / /

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Position

author / waiter / speaker / rt / representative / /

ProvinceOrState

California / Massachusetts / /

PublishedMedium

Machine Learning / /

Technology

sampling algorithm / genomics / speech recognition / machine translation / globally consistent inference algorithm / inference algorithm / driven learning algorithms / Machine Learning / recombination / /

URL

http /

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