A common kernel choice is the gaussian kernel: $ k(x,x^{'}) = \exp \big( -\frac{1}{2\sigma^2}\| x - x^{'} \|^2 \big)$
This implies a transformation on $x$, and equally on $x^{'}$. What is it?
A common kernel choice is the gaussian kernel: $ k(x,x^{'}) = \exp \big( -\frac{1}{2\sigma^2}\| x - x^{'} \|^2 \big)$
This implies a transformation on $x$, and equally on $x^{'}$. What is it?