Bounds on the Rate of Convergence of Learning Processes

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


In this chapter we consider bounds on the rate of uniform convergence. We consider upper bounds (there exist lower bounds as well (Vapnik and Chervonenkis, 1974); however, they are not as important for controlling the learning processes as the upper bounds).


Real Function Indicator Function Uniform Convergence Nonnegative Function Growth Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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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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