The paper first reviews a recently developed method called the Support Vector
Machine. The main feature of the method is to transform the original input
vectors into high-dimensional space, and then construct a linear regression
function or hyperplane in that space. The transformation is usually done by
applying the kernel technique. The paper then shows that the same kernel
technique can be appli... hiện toàn bộ