Some methods of constructing kernels in statistical learning
Tomasz Górecki, Maciej Łuczak · Discussiones Mathematicae Probability and Statistics · 2010
This paper is a collection of numerous methods and results concern- ing a design of kernel functions. It gives a short overview of methods of building kernels in metric spaces, especially R n and S n . However we also present a new theory. Introducing kernels was motivated by searching for non-linear patterns by using linear functions in a feature space created using a non-linear feature map.