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.
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