For questions related to Probably Approximately Correct (PAC) learning, a framework for mathematical analysis of machine learning algorithms, which was introduced in the paper "A Theory of the Learnable" (1984) by Leslie G. Valiant.
See A Theory of the Learnable (1984) by Leslie G. Valiant.
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