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The Probably Approximately Correct Learning Model in Computational Learning Theory

Machine Learning 2025-11-13 v1 Machine Learning

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.

Cite

@article{arxiv.2511.08791,
  title  = {The Probably Approximately Correct Learning Model in Computational Learning Theory},
  author = {Rocco A. Servedio},
  journal= {arXiv preprint arXiv:2511.08791},
  year   = {2025}
}

Comments

45 pages, 4 figures

R2 v1 2026-07-01T07:33:03.629Z