An introduction to support Vector Machines: and other kernel-based learning methods

  • Authors:
  • Nello Cristianini;John Shawe-Taylor

  • Affiliations:
  • -;-

  • Venue:
  • An introduction to support Vector Machines: and other kernel-based learning methods
  • Year:
  • 1999

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Abstract

From the publisher: This is the first comprehensive introductionto Support Vector Machines (SVMs), a new generation learning systembased on recent advances in statistical learning theory. SVMsdeliver state-of-the-art performance in real-world applicationssuch as text categorisation, hand-written character recognition,image classification, biosequences analysis, etc., and are nowestablished as one of the standard tools for machine learning anddata mining. Students will find the book both stimulating andaccessible, while practitioners will be guided smoothly through thematerial required for a good grasp of the theory and itsapplications. The concepts are introduced gradually in accessibleand self-contained stages, while the presentation is rigorous andthorough. Pointers to relevant literature and web sites containingsoftware ensure that it forms an ideal starting point for furtherstudy. Equally, the book and its associated web site will guidepractitioners to updated literature, new applications, and on-linesoftware.