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The nature of statistical learning theory / Vladimir N. Vapnik

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Auteur principal: Vapnik, Vladimir Naoumovitch, AuteurLangue : anglais, de la table des matières, anglais, de la page de titre, anglaisPays : Etats-Unis.Mention d'édition: 2nd editionPublication : New York : SpringerDate du copyright : 2000Description: 1 volume (xix-314 pages), illustrations, couverture illustrée en couleur, 24 cmISBN : 0387987800; 978-0-387-98780-4.Collection: Statistics for engineering and information scienceRésumé : The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques.Bibliographie : Bibliographie p. [301]-309. Index.Sujet - Nom commun: Apprentissage automatique -- Méthodes statistiques | Modèles stochastiques d'apprentissage

Bibliographie p. [301]-309. Index

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques