Bayesian Learning Theory Decision Function Quality
Issue Date:
2007
Publisher:
Institute of Information Theories and Applications FOI ITHEA
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.
