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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Proceedings of the Workshop on Support Vector Machines Theory and Applications, Advanced Course on Artificial Intelligence (ACAI’ 99), Chania, Greece, 1999 (http://www.iit.demokritos.gr/skel/eetn/acai99/Workshops.htm).
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Evgeniou, T., Pontil, M. (2001). Support Vector Machines: Theory and Applications. In: Paliouras, G., Karkaletsis, V., Spyropoulos, C.D. (eds) Machine Learning and Its Applications. ACAI 1999. Lecture Notes in Computer Science(), vol 2049. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44673-7_12
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DOI: https://doi.org/10.1007/3-540-44673-7_12
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