Project details for Learning the Kernel Matrix

Logo Learning the Kernel Matrix 1

by chap - January 14, 2008, 08:50:37 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Description:

Code for automatically selecting the kernel parameters of an SVM. It is based on a gradient descent minimization of either the radius/margin bound, the leave-one-out error, a validation error or the marginalized likelihood.

Included is also a special code for learning a linear combination of kernels.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Linux, Windows, Macos
Data Formats: None
Tags: Support Vector Machine, Kernel Methods
Archive: download here

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