266 search results - page 13 / 54 » Is Combining Classifiers Better than Selecting the Best One |
CLEF
2007
Springer
14 years 1 months ago
2007
Springer
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Multiple classifier systems based on neural networks can give improved generalisation performance as compared with single classifier systems. We examine collaboration in ...
ISSRE
2008
IEEE
14 years 2 months ago
2008
IEEE
Prediction of fault prone software components is one of the most researched problems in software engineering. Many statistical techniques have been proposed but there is no consen...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...