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Frequency of Correctness versus Average-Case Polynomial Time and Generalized Juntas

Published 16 Jun 2008 in cs.CC, cs.GT, and cs.MA | (0806.2555v1)

Abstract: We prove that every distributional problem solvable in polynomial time on the average with respect to the uniform distribution has a frequently self-knowingly correct polynomial-time algorithm. We also study some features of probability weight of correctness with respect to generalizations of Procaccia and Rosenschein's junta distributions [PR07b].

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