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Computational learning theory / Machine learning / Artificial intelligence / Learning / Probability distribution / Theoretical computer science / Probably approximately correct learning / Statistical classification / Error Tolerance / Supervised learning
Date: 2011-03-02 19:24:24
Computational learning theory
Machine learning
Artificial intelligence
Learning
Probability distribution
Theoretical computer science
Probably approximately correct learning
Statistical classification
Error Tolerance
Supervised learning

Noise-Tolerant Learning, the Parity Problem, and the Statistical Query Model AVRIM BLUM, ADAM KALAI, AND HAL WASSERMAN Carnegie Mellon University, Pittsburgh, Pennsylvania Abstract. We describe a slightly subexponential

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