0
$\begingroup$

Assume that some predictor $f$ is a kernel machine, but the kernel function $K(\cdot, \cdot)$ is unknown. Is there a way to recover the kernel $K(\cdot, \cdot)$ that "best approximates" $f$? is there an established notion of a "best-approximating kernel"?

Thanks.

$\endgroup$

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.