12 search results - page 1 / 3 » Focused Ensemble Selection: A Diversity-Based Method for Gre... |
ECAI
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. Ensemble selection deals with the reduction of an ensemble of predictive models in order to improve its efficiency and predictive performance. A number of ensemble select...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. This article presents a comprehensive study of different ensemble pruning techniques applied to a bagging ensemble composed of decision stumps. Six different ensemble p...
TEC
2008
13 years 5 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
JMLR
2006
13 years 5 months ago
2006
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
CBMS
2004
IEEE
13 years 8 months ago
2004
IEEE
Ensemble techniques have been successfully applied in the context of supervised learning to increase the accuracy and stability of classification. Recently, analogous techniques fo...