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The Probably Approximately Correct Learning Model in Computational Learning Theory
Published: November 11, 2025 |
arXiv ID: 2511.08791v1
By: Rocco A. Servedio
Potential Business Impact:
Teaches computers to learn patterns from examples.
Business Areas:
Machine Learning
Artificial Intelligence, Data and Analytics, Software
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.
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Page Count
45 pages
Category
Statistics:
Machine Learning (Stat)