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10

IJCV
2000

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Statistical Learning Theory: A Primer

13 years 4 months ago

Statistical Learning Theory: A Primer

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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.

Theodoros Evgeniou, Massimiliano Pontil, Tomaso Po

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IJCV 2000 | Main Concepts | Statistical Learning Theory | Support Vector Machines |

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Added	18 Dec 2010
Updated	18 Dec 2010
Type	Journal
Year	2000
Where	IJCV
Authors	Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio

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