Statistical Learning Theory: A Primer

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

• Type: Journal
• Year: 2000
• Where: IJCV
• Authors: Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio
• Keywords: IJCV 2000, Main Concepts, Statistical Learning Theory, Support Vector Machines