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 MoreMetadata
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.
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 18, Issue: 1, January 1996)
DOI: 10.1109/34.476017