Statistical learning theory

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.