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Support Vector Machines for Pattern Classification - Advances in Computer Vision and Pattern Recognition Shigeo Abe Softcover reprint of hardcover 2nd ed. 2010 edition
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Support Vector Machines for Pattern Classification - Advances in Computer Vision and Pattern Recognition
Shigeo Abe
A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. Covers sparse SVMs, learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning;
473 pages, 114 black & white illustrations, 89 black & white tables, biography
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 4 mai 2012 |
| ISBN13 | 9781447125488 |
| Éditeurs | Springer London Ltd |
| Pages | 473 |
| Dimensions | 155 × 235 × 25 mm · 680 g |
| Langue et grammaire | Anglais |
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