Statistical learning theory: A primer

In this paper we first overview the main concepts of Statistical Learning T heory, a framework in which learning from examples can be studied in a prin cipled way. We then briefly discuss well known as well as emerging learning techniques such as Regularization Networks and Support Vector Machines whi ch can be justified in term of the same induction principle.