Hmmm, it seems the links in our node description for the SVM learner are out of date. Sorry about that.
Instead, you might check out this article, which describes some of the commonly used kernel functions in SVMs (and their parameters). It also touches briefly on what happens to the boundaries when those parameters are adjusted, in the case of RBFs.