0
$\begingroup$

In UCSD machine learning course, it is said that:

"for Kernel Perceptron, the solution is likely to depend on more of the training points than the Kernel SVM"

why is that?

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.