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Stochastic processes / Statistical classification / Statistical theory / Parametric model / Mixture model / Dirichlet process / Hidden Markov model / Support vector machine / Pattern recognition / Statistics / Statistical models / Machine learning


Infinite Support Vector Machines in Speech Recognition Jingzhou Yang, Rogier C. van Dalen and Mark Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge, CB2 1PZ, UK {jy308,rcv25,mjfg}@en
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Document Date: 2013-06-13 07:07:00


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City

Cambridge / Beijing / New York / /

Company

Springer-Verlag New York Inc. / Neural Information Processing Systems / MIT Press / Monte Carlo / /

Country

United States / /

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Facility

Massachusetts Institute of Technology / University of Cambridge Trumpington Street / /

IndustryTerm

speech recognition systems / speech recognition algorithm / compensation technology / tensor product / information processing systems / /

MusicAlbum

Speech / /

Organization

Cambridge University Engineering Department / vol. / University of Cambridge Trumpington Street / American Statistical Association / MIT / US Government / Mark Gales Department of Engineering / Massachusetts Institute of Technology / /

Person

Federico Flego / Trausti Kristjansson / Alex Acero / Shinji Watanabe / Zoubin Ghahramani / Eric Fosler-Lussier / Eric Wang / Steve Young / Jayaram Sethuraman / Jerry Zhang / Geoffrey E. Hinton / Peter Orbanz / Nathan Smith / Thorsten Joachims / Carl Edward Rasmussen / Yee Whye Teh / Michael I. Jordan / Shi-Xiong Zhang / Diarization / David Pearce / Anton Ragni / Christopher M. Bishop / Robert A. Jacobs / Jun Zhu / Ning Chen / Matthew J Beal / Michael I Jordan / Steven J. Nowlan / Mark Gales / Ioannis Tsochantaridis / David Wingate / Li Deng / Erik B. Sudderth / Yasemin Altun / Christophe Andrieu / Thomas Hofmann / Arnaud Doucet / Nando de Freitas / Eric Xing / Austin Zhang / Radford M. Neal / David M Blei / C. van Dalen / /

Position

Speaker / infinite Gaussian mixture model / experts model / the iSVM / DP mixture model / the iSVM can be derived / /

ProvinceOrState

AURORA / New York / Massachusetts / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / Journal of the American Statistical Association / /

Technology

Speech Recognition / speech recognition algorithm / Machine Learning / compensation technology / /

SocialTag