Statistical learning theory


Statistical learning theory

Statistical learning theory is an ambiguous term.

#It may refer to computational learning theory, which is a sub-field of theoretical computer science that studies how algorithms can learn from data.
#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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