DocumentCode :
511346
Title :
A scalable genetic programming multi-class ensemble classifier
Author :
Kumar, D. J Nagendra ; Satapathy, Suresh Chandra ; Murthy, J.V.R.
Author_Institution :
Dept. of CS, BVRICE, Bhimavaram, India
fYear :
2009
fDate :
9-11 Dec. 2009
Firstpage :
1201
Lastpage :
1206
Abstract :
In this paper we propose a simple scalable genetic programming multi-class ensemble classifier of higher accuracy. A formula is derived to obtain the maximum number of nodes permitted in a GP classifier. A wrapper approach for feature selection mechanism based on GP classifier is adopted in our work.
Keywords :
genetic algorithms; pattern classification; feature selection mechanism; scalable genetic programming multiclass ensemble classifier; wrapper approach; Bagging; Boosting; Dynamic range; Electronic mail; Genetic programming; Neural networks; Pattern classification; Scalability; Training data; Voting; classifier; ensemble; feature selection; genetic programming; multi-class category; static range selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
Type :
conf
DOI :
10.1109/NABIC.2009.5393788
Filename :
5393788
Link To Document :
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