DocumentCode
3347185
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
fYear
2009
fDate
14-17 Oct. 2009
Firstpage
221
Lastpage
224
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location
Guilin
Print_ISBN
978-0-7695-3899-0
Type
conf
DOI
10.1109/WGEC.2009.205
Filename
5402906
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