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Machine learning / Statistical theory / Statistical classification / Mixture model / Maximum likelihood / Supervised learning / Expectation–maximization algorithm / Linear discriminant analysis / Gaussian function / Statistics / Estimation theory / Multivariate statistics


Supervised dimensionality reduction using mixture models Sajama Alon Orlitsky University of california at San Diego
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Document Date: 2008-12-01 11:16:12


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City

Bonn / /

Company

Neural Information Processing Systems / /

Country

Germany / Jordan / /

Currency

pence / /

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Facility

Sajama Alon Orlitsky University / /

IndustryTerm

approximation using radial basis function networks / bisection line search / line search / computing / explicit solution / important tool / iterative algorithms / /

NaturalFeature

Shannon / /

Organization

Royal Statistical Society / American Statistical Association / University of california at San Diego / /

Person

Thomas John / Sanjoy Dasgupta / /

Position

author / Prime Minister / Fisher / /

ProgrammingLanguage

ML / /

PublishedMedium

Journal of the Royal Statistical Society / Machine Learning / Journal of Machine Learning Research / Complex Systems / Journal of the American Statistical Association / /

Technology

speech recognition / EM-like algorithm / CEM algorithm / SDR-MM algorithm / Machine Learning / Simulation / EM algorithm / /

URL

http /

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