10 search results - page 1 / 2 » Selecting Minority Examples from Misclassified Data for Over... |
FLAIRS
2008
13 years 6 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...
FLAIRS
2007
13 years 6 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...
JAIR
2002
13 years 4 months ago
2002
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally repres...
DAWAK
2008
Springer
13 years 6 months ago
2008
Springer
In this paper we discuss problems of constructing classifiers from imbalanced data. We describe a new approach to selective preprocessing of imbalanced data which combines local ov...
TCBB
2011
12 years 11 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...