Setting of the Learning Problem

  • Vladimir N. Vapnik


In this book we consider the learning problem as a problem of finding a desired dependence using a limited number of observations.


Probability Distribution Function Covariance Matrice Regression Estimation Stochastic Approximation Empirical Distribution 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 1995

Authors and Affiliations

  • Vladimir N. Vapnik
    • 1
  1. 1.AT&T Bell LaboratoriesHolmdelUSA

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