367 search results - page 1 / 74 » A weighted subspace approach for improving bagging performan... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper proposes an approach to improve statistical word alignment with ensemble methods. Two ensemble methods are investigated: bagging and cross-validation committee...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Several authors have suggested viewing boosting as a gradient descent search for a good fit in function space. At each iteration observations are re-weighted using the gradient of...
EVOW
2008
Springer
13 years 6 months ago
2008
Springer
Classifier fusion strategies have shown great potential to enhance the performance of pattern recognition systems. There is an agreement among researchers in classifier combination...
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 ...