On the Quality of Decision Functions in Pattern Recognition


Autoria(s): Berikov, Vladimir
Data(s)

03/12/2009

03/12/2009

2007

Resumo

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.

Identificador

1313-0463

http://hdl.handle.net/10525/663

Idioma(s)

en

Publicador

Institute of Information Theories and Applications FOI ITHEA

Palavras-Chave #Bayesian Learning Theory #Decision Function Quality
Tipo

Article