Advances in kernel methodsAlexander J. Smola
Advances in kernel methods
Alexander J. Smola · 1998
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About the book
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.
Book details
- Year
- 1998
- Language
- English
- Publisher
- The MIT Press
- Editions
- 2
- Pages
- 386
- ISBN
- 9780262194167
Data source: Wikidata
