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Statistical inference / Kullback–Leibler divergence / Rényi entropy / Consistent estimator / Estimator / Normal distribution / Bayes estimator / Divergence / Bias of an estimator / Statistics / Statistical theory / Estimation theory


NONPARAMETRIC DIVERGENCE ESTIMATORS FOR INDEPENDENT SUBSPACE ANALYSIS Barnabás Póczos1 , Zoltán Szabó2 , and Jeff Schneider1 1 School of Computer Science,
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Document Date: 2011-07-25 14:48:24


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City

Pittsburgh / Budapest / /

Company

Cambridge University Press / Neural Networks / /

Country

Hungary / Jordan / United States / /

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Facility

University of Applied Sciences Mittweida / Carnegie Mellon University / University of California Press / Eötvös Loránd University / /

IndustryTerm

fmri data processing / greedy clustering algorithm / stronger tools / xed-point algorithms / fastica algorithm / szzoli@cs.elte.hu web / learning algorithm / /

NaturalFeature

Shannon / /

Organization

School of Computer Science / Cambridge University / Carnegie Mellon University / Department of Energy / European Union / European Social Fund / University of Applied Sciences Mittweida / University of California Press / Faculty of Informatics / Eötvös Loránd University / /

Person

N. Leonenko / V / /

Position

General / /

ProgrammingLanguage

Erlang / /

ProvinceOrState

Illinois / /

PublishedMedium

IEEE Transactions on Information Theory / Journal of Machine Learning Research / /

Technology

greedy clustering algorithm / xed-point algorithms / isa algorithm / machine learning / fastica algorithm / /

URL

http /

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