8 search results - page 2 / 2 » Roulette Sampling for Cost-Sensitive Learning |
AAAI
2006
13 years 6 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...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
DATAMINE
2008
13 years 5 months ago
2008
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...