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2000 | OriginalPaper | Buchkapitel

The Vicinal Risk Minimization Principle and the SVMs

verfasst von : Vladimir N. Vapnik

Erschienen in: The Nature of Statistical Learning Theory

Verlag: Springer New York

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In this chapter we introduce a new principle for minimizing the expected risk called the vicinal risk minimization (VRM) principle.’ We use this principle for solving our main problems: pattern recognition, regression estimation, and density estimation.

Metadaten
Titel
The Vicinal Risk Minimization Principle and the SVMs
verfasst von
Vladimir N. Vapnik
Copyright-Jahr
2000
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4757-3264-1_9