178 search results - page 2 / 36 » Learning cost-sensitive active classifiers |
DMIN
2007
13 years 7 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...
LREC
2008
13 years 7 months ago
2008
One problem of data-driven answer extraction in open-domain factoid question answering is that the class distribution of labeled training data is fairly imbalanced. This imbalance...
AAAI
2006
13 years 7 months ago
2006
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...
ISI
2006
Springer
13 years 5 months ago
2006
Springer
Abstract. In many organizations, it is common to control access to confidential information based on the need-to-know principle; The requests for access are authorized only if the ...
PAMI
2011
13 years 22 days ago
2011
—A novel framework is proposed for the design of cost-sensitive boosting algorithms. The framework is based on the identification of two necessary conditions for optimal cost-sen...