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Numerical linear algebra / Matrix theory / Singular value decomposition / Matrices / Cholesky decomposition / QR decomposition / Matrix decomposition / Incomplete Cholesky factorization / Eigendecomposition of a matrix / Algebra / Linear algebra / Mathematics


Predictive low-rank decomposition for kernel methods Francis R. Bach Centre de Morphologie Math´ematique, Ecole des Mines de Paris 35 rue Saint-Honor´e, 77300 Fontainebleau, France Michael I. Jordan
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Document Date: 2008-12-01 11:14:49


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City

Fontainebleau / Bonn / Paris / /

Company

MIT Press / Microsoft / Intel Corporation / /

Country

Germany / /

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Facility

Statistics University of California / /

IndustryTerm

grid search / cmc bank-32fh / machine learning algorithms / kernel-based learning algorithms / iterative algorithm / low-rank decomposition algorithm / generic matrix-based algorithms / bank / kernel algorithms / look-ahead algorithm / kin-32nm vehicle breast thyroid satellite / matrix algorithms / overall algorithm / Decomposition algorithm / /

Organization

Francis R. Bach Centre / National Science Foundation / MIT / Cambridge Univ. / University of California / Berkeley / France Michael I. Jordan Computer Science Division / J. Hopkins Univ. / /

Person

Francis R. Bach Centre de Morphologie / Michael I. Jordan / Francis Bach / /

Position

author / Prime Minister / /

ProgrammingLanguage

J / K / /

ProvinceOrState

California / /

PublishedMedium

Machine Learning / /

Technology

machine learning algorithms / N. Algorithm / underlying matrix algorithms / n.1 The algorithm / overall algorithm / kernel-based learning algorithms / look-ahead algorithm / matrix algorithms / generic matrix-based algorithms / The algorithm / iterative algorithm / Machine Learning / simulation / kernel algorithms / Decomposition algorithm / early stopping The algorithm / CSI algorithm / low-rank decomposition algorithm / /

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http /

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