275 search results - page 9 / 55 » Ensembl 2007 |
ECML
2007
Springer
13 years 11 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...
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
FLAIRS
2007
13 years 10 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...
BMCBI
2005
13 years 7 months ago
2005
ESANN
2004
13 years 9 months ago
2004
Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...