Description:

Very simple code for training SVMs in the primal. Works particularly well on sparse linear problems. In the non-linear case the entire kernel matrix needs to be computed, so for large problems it is better to use the reduced expansion method that is also included in the distribution.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Data Formats: None

Tags: Support Vector Machines, Kernel Methods

Archive: download here

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