DocumentCode :
2608127
Title :
A New Objective Function for Ensemble Selection in Random Subspaces
Author :
Ko, Albert Hung-Ren ; Sabourin, Robert ; Britto, Ad.S.
Author_Institution :
Ecole de Technologie Superieure, Quebec Univ., Montreal, Que.
Volume :
4
fYear :
0
fDate :
0-0 0
Firstpage :
185
Lastpage :
188
Abstract :
Most works based on diversity suggest that there exists only weak correlation between diversity and ensemble accuracy. We show that by combining the diversities with the classification accuracy of each individual classifier, we can achieve a strong correlation between the combined diversities and the ensemble accuracy in random subspaces
Keywords :
pattern classification; classification accuracy; ensemble accuracy; ensemble selection; objective function; random subspace; Bagging; Boosting; Diversity reception; Error correction; Mean square error methods; Reactive power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.124
Filename :
1699812
Link To Document :
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