Téléchargez le livre : Support Vector Machines for Pattern Classification

Support Vector Machines for Pattern Classification



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Éditeur :

Springer


Collection :

Advances in Computer Vision and Pattern Recognition

Paru le : 2005-12-28



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Description
I was shocked to see a student’s report on performance comparisons between support vector machines (SVMs) and fuzzy classi?ers that we had developed withourbestendeavors.Classi?cationperformanceofourfuzzyclassi?erswas comparable, but in most cases inferior, to that of support vector machines. This tendency was especially evident when the numbers of class data were small. I shifted my research e?orts from developing fuzzy classi?ers with high generalization ability to developing support vector machine–based classi?ers. This book focuses on the application of support vector machines to p- tern classi?cation. Speci?cally, we discuss the properties of support vector machines that are useful for pattern classi?cation applications, several m- ticlass models, and variants of support vector machines. To clarify their - plicability to real-world problems, we compare performance of most models discussed in the book using real-world benchmark data. Readers interested in the theoretical aspect of support vector machines should refer to books such as [109, 215, 256, 257].
Pages
344 pages
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2005-12-28
Marque
Springer
EAN papier
9781852339296
EAN PDF
9781846282195
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
2048 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
88,73 €

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