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1995 | OriginalPaper | Buchkapitel

Controlling the Generalization Ability of Learning Processes

verfasst von : Vladimir N. Vapnik

Erschienen in: The Nature of Statistical Learning Theory

Verlag: Springer New York

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The theory for controlling the generalization ability of learning machines is devoted to constructing an inductive principle for minimizing the risk functional using a small sample of training instances.

Metadaten
Titel
Controlling the Generalization Ability of Learning Processes
verfasst von
Vladimir N. Vapnik
Copyright-Jahr
1995
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4757-2440-0_5