Title :
Research on Bayesian Decision Theory in Pattern Recognition
Author :
Li, Hai-ming ; Huang, Ting-Lei ; Wang, Xin
Author_Institution :
Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
Abstract :
In this paper, Bayesian decision theory is discussed. Bayesian decision related to the basic elements and the principles as well as the Bayes optimal decision criteria is introduced briefly. Its characteristics, advantages and disavantages as well as the applicable targets are analysed in this paper, in the end, the new application situation is introduced.
Keywords :
Bayes methods; decision theory; pattern recognition; Bayes optimal decision criteria; Bayesian decision theory; pattern recognition; Bayesian methods; Data analysis; Decision theory; Error analysis; Genetics; Pattern analysis; Pattern classification; Pattern recognition; Probability; Testing; Bayesian; analysis; research;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.205
