✦ LIBER ✦

A short Introduction to Support Vector Machines and Kernelbased Learning

✍ Scribed by Suykens J.

Book ID: 127438674
Year: 2003
Tongue: English
Weight: 1 MB
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

• Disadvantages of classical neural nets• SVM properties and standard SVM classifier• Related kernelbased learning methods• Use of the "kernel trick" (Mercer Theorem)• LS-SVMs: extending the SVM framework• Towards a next generation of universally applicable models?• The problem of learning and generalization

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