Book Chapter10.1007/978-1-84996-098-4_6
Kernel-Based Methods
Shigeo Abe
- 01 Jan 2010
- pp 305-329
7
TL;DR: Inspired by the success of support vector machines, to improve generalization and classification abilities, conventional pattern classification techniques have been extended to incorporate maximizing margins and mapping to a feature space.
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Abstract: Inspired by the success of support vector machines, to improve generalization and classification abilities, conventional pattern classification techniques have been extended to incorporate maximizing margins and mapping to a feature space. For example, perceptron algorithms [1–4], neural networks (Chapter 9), and fuzzy systems (Chapter 10) have incorporated maximizing margins and/or mapping to a feature space.
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