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Détails
Type de document: | Livre |
---|---|
Tous les auteurs / collaborateurs: |
Shigeo Abe |
ISBN: | 9781852339296 1852339292 |
Numéro OCLC: | 316465227 |
Description: | xiv, 343 pages : illustrations ; 25 cm. |
Contenu: | Introduction.- Two-class Support Vector Machines.- Multiclass Support Vector Machines.- Variants of Support Vector Machines.- Training Methods.- Feature Selection and Extraction.- Clustering.- Kernel-Based Methods.- Maximum Margin Multilayer Neural Networks.- Maximum Margin Fuzzy Classifiers.- Function Approximation.- Conventional Classifiers.- Matrices. |
Titre de collection: | Advances in pattern recognition. |
Responsabilité: | Shigeo Abe. |
Critiques
Synopsis de l’éditeur
From the reviews: "This broad and deep ... book is organized around the highly significant concept of pattern recognition by support vector machines (SVMs). ... The book is praxis and application oriented but with strong theoretical backing and support. Many ... details are presented and discussed, thereby making the SVM both an easy-to-understand learning machine and a more likable data modeling (mining) tool. Shigeo Abe has produced the book that will become the standard ... . I like it and therefore highly recommend this book ... ." (Vojislav Kecman, SIAM Review, Vol. 48 (2), 2006) Lire la suite...

