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Support vector machines / Least squares support vector machine / Kernel methods / Cross-validation / Quantitative structure–activity relationship / Supervised learning / Linear classifier / Kernel principal component analysis / Shogun / Statistics / Machine learning / Statistical classification


Document Date: 2008-06-16 15:13:37

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File Size: 1,16 MB

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City

Weinheim / /

Company

John Wiley & Sons Inc. / AT&T Bell Laboratories / /

Facility

University of Texas Medical Branch / Chemistry Ovidiu Ivanciuc Sealy Center / /

IndustryTerm

Chemical applications / classification algorithm / e-insensitive / machine learning algorithms / text mining / generalized portrait algorithm / chemical engineering / possible applications / multivariate algorithms / theoretical tool / /

Organization

University of Texas Medical Branch / Department of Biochemistry and Molecular Biology / Chemistry Ovidiu Ivanciuc Sealy Center for Structural Biology / /

Person

Thomas R. Cundari / Kenny B. Lipkowitz / /

Position

SVMR model for the linear kernel / QSAR model for this dataset / /

PublishedMedium

Molecular Biology / /

Technology

Computational Chemistry / machine learning algorithms / drug design / Lerner.1 The SVM algorithm / generalized portrait algorithm / SVM algorithm / SVM classification algorithm / /

URL

http /

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