What does the 'PAC' stand for in Leslie Valiant's mathematical framework for analyzing the complexity of learning algorithms?
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PAC learning theory provides a formal framework for understanding how many samples are needed to learn a hypothesis that is close to the true function with high probability. It is a cornerstone of computational learning theory.
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- In the context of computational learning theory, what full phrase does the acronym 'PAC' represent?