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Support Vector Machines: Theory and Applications
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Support Vector Machines: Theory and Applications
Theodoros Evgeniou2  and Massimiliano Pontil3
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Technology Management, INSEAD, 77305 Fontainebleau, France |
| (3) |
Center for Biological and Computational Learning, MIT, E25-201, 45 Carleton St., Cambridge MA, 02139, USA |
Abstract
This chapter presents a summary of the issues discussed during the one day workshop on “Support Vector Machines (SVM) Theory
and Applications” organized as part of the Advanced Course on Artificial Intelligence (ACAI ’99) in Chania, Greece [19]. The
goal of the chapter is twofold: to present an overview of the background theory and current understanding of SVM, and to discuss
the papers presented as well as the issues that arose during the workshop.
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