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Statistical learning theory is an ambiguous term.

  1. It may refer to computational learning theory, which is a sub-field of theoretical computer science that studies how algorithms can learn from data.
  2. It may refer to Vapnik–Chervonenkis theory, which is a specific approach to computational learning theory, proposed by Vladimir Vapnik and Alexey Chervonenkis.

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