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