DocumentCode
3361592
Title
A New Method for the Design of k-Class Bayes Classifiers
Author
Doost, Roghayeh ; Rahmati, Mohammad ; Sayyadian, Abolghasem ; Shamsi, Hossein
Author_Institution
Univ. of Amirkabir, Tehran
fYear
2007
fDate
11-14 Dec. 2007
Firstpage
123
Lastpage
126
Abstract
In this paper a new method for the design of K -class bayes classifier is proposed. As a benefit, the proposed method has less complexity rather than its conventional counterparts, OVA and OVO. Simulation results show that the classification error of the proposed method is approximately identical to the classification error of conventional approaches, OVO and OVA.
Keywords
Bayes methods; error correction codes; pattern classification; Bayes classifiers; error correcting codes; k-class classifiers; Algorithm design and analysis; Design engineering; Design methodology; Error correction codes; Hamming distance; Support vector machine classification; Support vector machines; Voting; K -class classifier; OVA; OVO; bayes classifier;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on
Conference_Location
Marrakech
Print_ISBN
978-1-4244-1377-5
Electronic_ISBN
978-1-4244-1378-2
Type
conf
DOI
10.1109/ICECS.2007.4510946
Filename
4510946
Link To Document