Arbitrarily tight upper and lower bounds on the Bayesian probability of error | IEEE Journals & Magazine | IEEE Xplore

Arbitrarily tight upper and lower bounds on the Bayesian probability of error


Abstract:

This paper presents new upper and lower bounds on the minimum probability of error of Bayesian decision systems for the two-class problem. These bounds can be made arbitr...Show More

Abstract:

This paper presents new upper and lower bounds on the minimum probability of error of Bayesian decision systems for the two-class problem. These bounds can be made arbitrarily close to the exact minimum probability of error, making them tighter than any previously known bounds.
Page(s): 89 - 91
Date of Publication: 31 January 1996

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