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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
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2005年6月21日 |
| ISBN13 | 9783540243885 |
| 出版社 | Springer-Verlag Berlin and Heidelberg Gm |
| ページ数 | 431 |
| 寸法 | 155 × 235 × 25 mm · 910 g |
| 言語 | ドイツ語 |
| 編集者 | Wang, Lipo |