The Community for Technology Leaders
Green Image
ABSTRACT
<p><b>Abstract</b>—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.</p>
INDEX TERMS
Bayesian decision, probability of error, statistical pattern recognition.
CITATION
Hadar Avi-Itzhak, Thanh Diep, "Arbitrarily Tight Upper and Lower Bounds on the Bayesian Probability of Error", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 18, no. , pp. 89-91, January 1996, doi:10.1109/34.476017
99 ms
(Ver )