147 search results - page 2 / 30 » Agnostic Learning with Ensembles of Classifiers |
PCM
2007
Springer
13 years 11 months ago
2007
Springer
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper we extend previous results providing a theoretical analysis of a new Monte Carlo ensemble classifier. The framework allows us to characterize the conditions under wh...
MCS
2000
Springer
13 years 9 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
IWCLS
2007
Springer
13 years 11 months ago
2007
Springer
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
We present a novel ensemble pruning method based on reordering the classifiers obtained from bagging and then selecting a subset for aggregation. Ordering the classifiers generate...