264 search results - page 19 / 53 » Ensemble Learning of Regional Classifiers |
MCS
2002
Springer
13 years 7 months ago
2002
Springer
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Color is a powerful visual cue for many computer vision
applications such as image segmentation and object recognition.
However, most of the existing color models depend on the i...
CISISSPAIN
2011
12 years 11 months ago
2011
In last decades there have been many proposals from the machine learning community in the intrusion detection field. One of the main problems that Intrusion Detection Systems (IDSs...
ECML
2005
Springer
14 years 28 days ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
ISDA
2010
IEEE
13 years 5 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...