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Advances in Kernel Methods Support Vector Learning cover
  • ISBN: 9780262194167
  • ISBN10: 0262194163

Advances in Kernel Methods Support Vector Learning

by Christopher J. C. Burges

  • List Price: $60.00
  • Binding: Hardcover
  • Publisher: Mit Pr
  • Publish date: 01/01/1999
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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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