Controlling the Generalization Ability of Learning Processes

  • Vladimir N. Vapnik
Part of the Statistics for Engineering and Information Science book series (ISS)


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.


Generalization Ability Minimum Description Length Admissible Function Empirical Risk Structural Risk Minimization 
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Copyright information

© Springer Science+Business Media New York 2000

Authors and Affiliations

  • Vladimir N. Vapnik
    • 1
  1. 1.Room 3-130AT&T Labs-ResearchRed BankUSA

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