1439 search results - page 1 / 288 » Bagging with Adaptive Costs |
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Kernel Fisher Discriminant Analysis (KFDA) has achieved great success in pattern recognition recently. However, the training process of KFDA is too time consuming (even intractabl...
ACML
2009
Springer
13 years 9 months ago
2009
Springer
We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (...
CIARP
2007
Springer
13 years 8 months ago
2007
Springer
Abstract. Diversity is a key characteristic to obtain advantages of combining predictors. In this paper, we propose a modification of bagging to explicitly trade off diversity and ...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Theoretical and experimental analyses of bagging indicate that it is primarily a variance reduction technique. This suggests that bagging should be applied to learning algorithms ...