paper

The Probably Approximately Correct Learning Model in Computational Learning Theory

arXiv:2511.08791

Abstract

This survey paper gives an overview of various known results on learning classes of Boolean functions in Valiant's Probably Approximately Correct (PAC) learning model and its commonly studied variants.

45 pages, 4 figures

The Probably Approximately Correct Learning Model in Computational Learning Theory · wovepaper