178 search results - page 8 / 36 » Learning cost-sensitive active classifiers |
TCBB
2011
13 years 2 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...
SDM
2004
SIAM
13 years 8 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...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
The performance of image retrieval with SVM active learning is known to be poor when started with few labelled images only. In this paper, the problem is solved by incorporating t...
JMLR
2008
13 years 7 months ago
2008
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
COLING
2010
13 years 2 months ago
2010
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...