133 search results - page 1 / 27 » A Theoretical Analysis of Bagging as a Linear Combination of... |
PAMI
2008
13 years 10 months ago
2008
PAA
2002
13 years 10 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
14 years 2 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 10 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
14 years 3 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...