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Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing 2005 edition
Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing
The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications.
441 pages, 55 black & white tables, biography
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | June 21, 2005 |
| ISBN13 | 9783540243885 |
| Publishers | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 431 |
| Dimensions | 155 × 235 × 25 mm · 798 g |
| Language | French |
| Editor | Wang, Lipo |