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- W2783485039 abstract "A Boolean function $g$ is said to be an optimal predictor for another Boolean function $f$, if it minimizes the probability that $f(X^{n})neq g(Y^{n})$ among all functions, where $X^{n}$ is uniform over the Hamming cube and $Y^{n}$ is obtained from $X^{n}$ by independently flipping each coordinate with probability $delta$. This paper is about self-predicting functions, which are those that coincide with their optimal predictor." @default.
- W2783485039 created "2018-01-26" @default.
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- W2783485039 date "2018-01-12" @default.
- W2783485039 modified "2023-09-27" @default.
- W2783485039 title "Self-Predicting Boolean Functions" @default.
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