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