410 search results - page 1 / 82 » Ensembles of biased classifiers |
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We propose a novel ensemble learning algorithm called Triskel, which has two interesting features. First, Triskel learns an ensemble of classifiers, each biased to have high preci...
AAAI
2000
13 years 6 months ago
2000
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
ESWA
2006
13 years 4 months ago
2006
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
GECCO
2009
Springer
13 years 8 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...