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Markov models / Functional analysis / Multivariate statistics / Numerical linear algebra / Linear algebra / Principal component analysis / Expectation–maximization algorithm / Singular value decomposition / Markov chain / Statistics / Algebra / Mathematics


Spectral Learning of Hidden Markov Models from Dynamic and Static Data
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Document Date: 2014-09-10 11:52:47

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File Size: 307,43 KB

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City

Belmont / Atlanta / /

Company

SIAM Journal / Neural Information Processing Systems / Xing / /

Country

United States / /

Currency

pence / /

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Facility

Jeff Schneider Robotics Institute / /

IndustryTerm

conditional embedding operator / gradient-descent algorithm / analytical solution / possible solution / state-of-the art optimization software / tensor product / spectral algorithms / singular value thresholding algorithm / spectral learning algorithms / learning algorithms / spectral algorithm / /

MarketIndex

set 10000 / /

Organization

Inertia-Measurement Unit / United Nations / Dynamic and Static Data Tzu-Kuo Huang Machine Learning Department / Carnegie Mellon University / /

Person

Yoram / Shai / Dimitri P. Nonlinear / Jeff Schneider / Geoffrey J. Reduced-rank / Huang / /

Position

author / Singer / /

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C / /

ProvinceOrState

Georgia / Massachusetts / /

PublishedMedium

Machine Learning / /

Technology

singular value thresholding algorithm / spectral learning algorithms / speech recognition / spectral algorithm / proposed algorithm / gene expression / proposed algorithms / gradient-descent algorithm / Machine Learning / simulation / /

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www.mosek.com / /

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