33 search results - page 1 / 7 » Class-Specific Ensembles for Active Learning |
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
TCBB
2011
12 years 11 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
PAKDD
2004
ACM
13 years 10 months ago
2004
ACM
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
WAIM
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Ensemble methods can achieve excellent performance relying on member classifiers’ accuracy and diversity. We conduct an empirical study of the relationship of ensemble...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...