Advances In Kernel Methods: Support Vector Learning
| Use attributes for filter ! | |
| Google books | books.google.com |
|---|---|
| Originally published | 1999 |
| Editors | Christopher J. C. Burges |
| Bernhard Schölkopf | |
| Date of Reg. | |
| Date of Upd. | |
| ID | 2210615 |
About Advances In Kernel Methods: Support Vector Learning
The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a workshop on Support Vector Machines held at the 1997 NIPS conference. . . .