Support Vector Machines for Pattern Classification
Originally formulated for two-class classification problems, support vector machines (SVMs) are now accepted as powerful tools for developing pattern classification and function approximation systems. Recent developments in kernel-based methods include kernel classifiers and regressors and their var...
Cote: | Libro Electrónico |
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Format: | Électronique eBook |
Langue: | Inglés |
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London :
Springer London : Imprint: Springer,
2010.
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Édition: | 2nd ed. 2010. |
Collection: | Advances in Computer Vision and Pattern Recognition,
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Accès en ligne: | Texto Completo |