Kernel Methods for Pattern Analysis
Support Vector Machines
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Software
Learning Theory
Support Vector Machines
and other kernel-based learning methods
John Shawe-Taylor & Nello Cristianini - Cambridge University Press, 2000 -
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Online References for Further Reading
Clickable "Further Reading" Sections of Chapters 1- 8:
Chapter 1
: The Learning Methodology
Chapter 2
: Linear Learning Machines
Chapter 3
: Kernel-Induced Feature Spaces
Chapter 4
: Generalisation Theory
Chapter 5
: Optimisation Theory
Chapter 6
: Support Vector Machines
Chapter 7
: Implementation Techniques
Chapter 8
: Applications of SV Machines
Full references list »
ICML-2001 tutorial »
