21 search results - page 1 / 5 » MTForest: Ensemble Decision Trees based on Multi-Task Learni... |
ECAI
2008
Springer
13 years 6 months ago
2008
Springer
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
PAKDD
2010
ACM
13 years 9 months ago
2010
ACM
Abstract. It is well known that diversity among component classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods achieve this goal through resam...
ECML
2007
Springer
13 years 8 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 ...
ICML
2003
IEEE
14 years 5 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 ...
FLAIRS
2007
13 years 6 months ago
2007
In this paper, we present a machine learning based approach for estimating antecedents of anaphorically used personal pronouns in Turkish sentences using a decision tree classific...