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| 材料类型: | 互联网资源 |
|---|---|
| 文件类型: | 书, 互联网资源 |
| 所有的著者/提供者: |
Bernhard Schölkopf; Alexander J Smola |
| ISBN: | 0262194759 9780262194754 |
| OCLC号码: | 48970254 |
| 描述: | xviii, 626 p. : ill. ; 26 cm. |
| 丛书名: | Adaptive computation and machine learning. |
| 责任: | Bernhard Schölkopf, Alexander J. Smola. |
摘要:
A comprehensive introduction to Support Vector Machines and related kernel methods.
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出版商概要
"Interesting and original. Learning with Kernels will make a fine textbook on this subject."--Grace Wahba, Bascom Professor of Statistics, University of Wisconsin Madison "This splendid book fills the need for a comprehensive treatment of kernel methods and support vector machines. It collects results, theorems, and discussions from disparate sources into one very accessible exposition. I am particularly impressed that the authors have included problem sets at the end of each chapter; such problems are not easy to construct, but add significantly to the value of the book for the student audience."--Chris J. C. Burges, Microsoft Research 再读一些...
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添加标签 目的是为 "Learning with kernels : support vector machines, regularization, optimization, and beyond".
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