147 search results - page 17 / 30 » Agnostic Learning with Ensembles of Classifiers |
BMCBI
2008
13 years 8 months ago
2008
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
ICANN
2003
Springer
14 years 1 months ago
2003
Springer
Pattern recognition problems span a broad range of applications, where each application has its own tolerance on classification error. The varying levels of risk associated with ma...
MCS
2002
Springer
13 years 8 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
15 years 19 days 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...