Dear list,
In some places (for example,
http://en.wikipedia.org/wiki/Support_vector_machine) , the polynomail
kernel in SVM is written as (u'*v + 1)^d, while in the document of
svm() in e1071 package, the polynomial kernel is written as
(gamma*u'*v + coef0)^d. I am a little confused here:
When doing parameter optimization (grid search or so) for polynomial
kernel, does it need to tune four parameters, gamma, coef0, C and
degree, or just two of them, C and degree (and fixing gamma to 1 and
coef0 = 1)?
Thanks,
Wuming