275 search results - page 3 / 55 » The Foundations of Cost-Sensitive Learning |
ICDM
2003
IEEE
14 years 23 days ago
2003
IEEE
We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we propose a new and general preprocessor algorithm, called CSRoulette, which converts any cost-insensitive classification algorithms into cost-sensitive ones. CSRou...
CVPR
2010
IEEE
13 years 6 months ago
2010
IEEE
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
DMIN
2007
13 years 9 months ago
2007
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
COLING
2010
13 years 2 months ago
2010
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...