An Introduction to support vector machines : and other kernel-based learning methods / Nello Cristianini, John Shawe-Taylor

Auteur principal : Cristianini, Nello, 1968-, AuteurCo-auteur : Shawe-Taylor, John, 1953-, AuteurType de document : MonographieLangue : anglais.Pays: Grande Bretagne.Éditeur : Cambridge : Cambridge University Press, 2000Description : 1 vol. (xiii-189 p.) : fig., couv. ill. en coul. ; 25 cmISBN: 0521780195.Bibliographie : Bibliogr. p. 173-186. Index.Sujet MSC : 68Q32, Computer science - Theory of computing, Computational learning theory
68T05, Computer science, Learning and adaptive systems in artificial intelligence
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This book presents a comprehensive introduction to Support Vector Machine which is one of the most popular and effective classification method used in learning theory. The method is based on the possibility of extending the classical linear classifier methods, by being linear in representation spaces of much larger dimensionality. This can be achieved without really computing in these larger spaces by using Mercer kernels. (Zentralblatt)

Bibliogr. p. 173-186. Index

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