23 search results - page 1 / 5 » A Distance-Based Over-Sampling Method for Learning from Imba... |
FLAIRS
2007
13 years 10 months ago
2007
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
FLAIRS
2008
13 years 10 months ago
2008
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
ICIC
2005
Springer
14 years 1 months ago
2005
Springer
In recent years, mining with imbalanced data sets receives more and more attentions in both theoretical and practical aspects. This paper introduces the importance of imbalanced da...
FSKD
2008
Springer
13 years 8 months ago
2008
Springer
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
CI
2004
13 years 7 months ago
2004
