Suykens J. — A short Introduction to Support Vector Machines and Kernelbased Learning
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Название: A short Introduction to Support Vector Machines and Kernelbased Learning
Автор: Suykens J.
Аннотация:
• 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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