133 search results - page 1 / 27 » A Theoretical Analysis of Bagging as a Linear Combination of... |
PAMI
2008
13 years 4 months ago
2008
PAA
2002
13 years 4 months ago
2002
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
MCS
2002
Springer
13 years 4 months ago
2002
Springer
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...
MCS
2001
Springer
13 years 9 months ago
2001
Springer
In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory. Theoretical analysis described in [12,1...