The Glivenko Cantelli Theorem and its Generalizations Thomas Kahle

@inproceedings{Kahle2006TheGC,
  title={The Glivenko Cantelli Theorem and its Generalizations Thomas Kahle},
  author={Thomas Kahle},
  year={2006}
}
In this note we will study upper bounds of random variables of the type sup A∈A |ν n (A) − ν(A)| , where A is a class of sets that needs to fulll certain assumptions. These bounds are important tools in the analysis of learning processes and probabilistic theories of pattern recognition. The presentation given here is based on [DGL96]. 

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