74 search results - page 5 / 15 » Exploiting unlabeled data in ensemble methods |
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
JMLR
2010
13 years 2 months ago
2010
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
IJON
2010
13 years 4 months ago
2010
Several solutions have been proposed to exploit the availability of heterogeneous sources of biomolecular data for gene function prediction, but few attention has been dedicated t...
ECCV
2010
Springer
14 years 28 days ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....