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Operator theory / Abstract algebra / Hilbert space / Functional analysis / Kernel / Entropy / Positive-definite kernel / Support vector machine / Reproducing kernel Hilbert space / Algebra / Mathematics / Linear algebra


2516 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 47, NO. 6, SEPTEMBER 2001 Generalization Performance of Regularization Networks and Support Vector Machines Via
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Document Date: 2001-11-06 20:15:27

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File Size: 491,02 KB

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City

Cambridge / Nordkirchen / /

Company

Nonparametric Estimation / Neural Networks / Support Vector Machines Via Entropy Numbers of Compact Operators Robert C. Williamson / MIT Press / Classification / Regularization Networks / Microsoft / /

Country

Germany / Australia / /

Currency

USD / /

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Facility

Australian National University / /

IndustryTerm

dot products / to similar algorithms / learning theory applications / kernels computing dot products / typical communications problem / dot product / nondegenerate systems / polynomial networks / certain unsupervised learning algorithms / radial basis function networks / degenerate systems / learning algorithms / /

Organization

Federal Government / MIT / Australian National University / Canberra / U.S. Securities and Exchange Commission / Australian Research Council / Research School of Information Sciences and Engineering / /

Person

Carl / Alex J. Smola / Robert C. Williamson / Stephani / /

Position

Associate Editor / scientist / /

PublishedMedium

IEEE TRANSACTIONS ON INFORMATION THEORY / /

Technology

certain unsupervised learning algorithms / /

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