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Linear algebra / Regression analysis / Numerical linear algebra / Singular value decomposition / Operator theory / Lanczos algorithm / Eigenvalues and eigenvectors / Partial least squares regression / Principal component analysis / Algebra / Statistics / Mathematics


Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression Nicole Kr¨ amer Machine Learning Group
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Document Date: 2009-04-18 18:18:09

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City

Washington / DC / Clearwater Beach / Wiley / /

Company

Neural Information Processing Systems / Solving Linear Systems / Whittaker / Intelligent Laboratory Systems / /

Country

United States / /

Currency

GBP / /

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Facility

Machine Learning Group Berlin Institute of Technology / Mikio L. Braun Machine Learning Group Berlin Institute of Technology / Statistical Model Building / Computer Science Tokyo Institute of Technology / /

IndustryTerm

projection operator / orthogonal projection operator / matrix-vector product / iterative algorithm / sparse linear systems / approximate solution / search directions / approximate solutions / quadratic runtime algorithms / /

Organization

Department of Computer Science Tokyo Institute / Mikio L. Braun Machine Learning Group Berlin Institute / American Statistical Association / National Bureau of Standards / Institute of Technology / 21st Century Foundation / Tokyo Institute of Technology / /

Person

Quantitative Sociology / Nicole Kr / Masashi Sugiyama / /

Position

editor / model of a robotic arm / /

ProvinceOrState

Florida / New York / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / Journal of Chemometrics / Journal of the American Statistical Association / Lecture Notes in Computer Science / /

Technology

Lanczos algorithm / bioinformatics / artificial intelligence / resulting iterative algorithm / quadratic runtime algorithms / Data Mining / chemoinformatics / Machine Learning / Kernel PLS algorithm / simulation / NIPALS algorithm / Two Partial-LeastSquares Algorithms / /

URL

http /

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