DocumentCode :
3009488
Title :
Selective Ensemble Learning Algorithm
Author :
Yu-yan, Jiang
Author_Institution :
Sch. of Manage. Sci. & Eng., Anhui Univ. of Technol., Maanshan, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
1859
Lastpage :
1862
Abstract :
Selective ensemble learning is a learning algorithm, trains a number of based classifier and selects some of them to ensemble. Through the selective ensemble, the algorithm would be more effective than each single one and better than the algorithm that select all the based classifier, and the algorithm would have effective generalization ability. In this paper, we apply a multi-lever selective ensemble learning algorithm, named. Test results show that has better learning results and generalization ability.
Keywords :
generalisation (artificial intelligence); learning (artificial intelligence); pattern classification; statistical analysis; classifier algorithm; generalization ability; machine learning; selective ensemble learning algorithm; Accuracy; Algorithm design and analysis; Bagging; Breast cancer; Classification algorithms; Machine learning; Sonar; Ensemble Learning; Machine Learning; Selective Ensemble;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.457
Filename :
5631385
Link To Document :
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