Gaussian kernel ($k(x,y)=e^{-\Vert x-y{\Vert }^2/(2{\sigma }^2)}$)

The Gaussian kernel is a translation-invariant positive-semidefinite kernel whose canonical feature map takes values in an infinite-dimensional vector space.