Advances in Kernel Methods Support Vector Learning
- List Price: $60.00
- Binding: Hardcover
- Publisher: Mit Pr
- Publish date: 01/01/1999
Description:
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. The contributors, both university researchers and engineers developing applications for the corporate world, form a Who's Who of this exciting new area.
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Product notice
Returnable at the third party seller's discretion and may come without consumable supplements like access codes, CD's, or workbooks.
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