Support Vector Machines - and other kernel-based learning methods
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Support Vector Machines and other kernel-based learning methods
John Shawe-Taylor & Nello Cristianini - Cambridge University Press, 2000 - Ordering Info »

Contents Overview

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  1. The Learning Methodology
  2. Linear Learning Machines
  3. Kernel-Induced Feature Spaces
  4. Generalisation Theory
  5. Optimisation Theory
  6. Support Vector Machines
  7. Implementation Techniques
  8. Applications of Support Vector Machines