Computational learning theory: Difference between revisions

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Examples of different branches of computational learning theory include:
* [[Probably approximately correct learning]] (PAC learning), proposed by [[Leslie Valiant]];
* [[Statistical learningVC theory]], proposed by [[Vladimir Vapnik]];
* [[Bayesian inference]], arising from work first done by [[Thomas Bayes]].
* [[Algorithmic learning theory]], from the work of E. M. Gold.