3 search results - page 1 / 1 » Sparse Regression Ensembles in Infinite and Finite Hypothesi... |
ML
2002
ACM
13 years 4 months ago
2002
ACM
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
JMLR
2002
13 years 4 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
JMLR
2008
13 years 4 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 ...