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 Adaptivity of support vector machines with l1 penalty

Publication Year: 2004

Type
 Unknown Type

Authors
 Advanced Analysis ...

 Tarigan Bernadetta van de Geer Sara 1

Abstract
 We consider the problem of adaptation to model complexity and noise level, when using support vector machine loss in binary classification. We show that with $\ell_1$ complexity regularization, adaptive rates can be obtained.

Project

 PASCAL Project 1

Organisations

 Leiden University 1

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