Self-Predicting Boolean Functions

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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.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Information Theory, ISIT 2018
Pages276-280
Number of pages5
DOIs
StatePublished - 15 Aug 2018
Event2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States
Duration: 17 Jun 201822 Jun 2018

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2018-June

Conference

Conference2018 IEEE International Symposium on Information Theory, ISIT 2018
Country/TerritoryUnited States
CityVail
Period17/06/1822/06/18

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

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