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An Introduction to support Vector Machines and other Kernal based learning methods
"This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character...
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| Format: | Printed Book |
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Cambridge ; New York
Cambridge University Press
2000
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Table of Contents:
- The learning methodology
- Linear learning machines
- Kernal-induced feature spaces
- Generalisation theory
- Optimisation theory
- Support vector machines
- Implementation techniques
- Application of support vector machines
- Pseudocode for the SMO algorithm
- Background mathematics.