147 search results - page 3 / 30 » Agnostic Learning with Ensembles of Classifiers |
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
MCS
2005
Springer
14 years 25 days ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
ICTAI
2008
IEEE
14 years 1 months ago
2008
IEEE
We present a new ensemble learning method that employs a set of regional classifiers, each of which learns to handle a subset of the training data. We split the training data and ...
ESANN
2004
13 years 8 months ago
2004
Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...