Abstract: The problem of decision functions quality in pattern recognition is considered. An overview of the approaches to the solution of this problem is given. Within the Bayesian framework, we suggest an approach based on the Bayesian interval estimates of quality on a finite set of events.

Keywords: Bayesian learning theory, decision function quality.

ACM Classification Keywords: I.5.2 Pattern recognition: classifier design and evaluation

Link:

ON THE QUALITY OF DECISION FUNCTIONS IN PATTERN RECOGNITION

Vladimir Berikov

http://www.foibg.com/ijita/vol14/ijita14-1-p14.pdf