Statistical-Learning-Theory
The goal of statistical learning theory is to study, in a statistical
framework, the properties of learning algorithms. In particular,
most results take the form of so-called error bounds. This tutorial introduces
the techniques that are used to obtain such results.
This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.
