978 search results - page 1 / 196 » Infinite Ensemble Learning with Support Vector Machines |
ECML
2005
Springer
13 years 11 months ago
2005
Springer
JMLR
2008
13 years 5 months ago
2008
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
ICML
2000
IEEE
14 years 6 months ago
2000
IEEE
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...