73 search results - page 1 / 15 » Ensembles of Multi-Objective Decision Trees |
ECML
2007
Springer
13 years 9 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 ...
DIS
2008
Springer
13 years 7 months ago
2008
Springer
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
ECML
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
CORR
2002
Springer
13 years 5 months ago
2002
Springer
This paper presents an evaluation of an ensemble