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- 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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