Multi-class Pattern Classification in Imbalanced Data
The majority of multi-class pattern classification techniques are proposed for learning from balanced datasets. However, in several real-world domains, the datasets have imbalanced data distribution, where some classes of data may have few training examples compared for other classes. In this paper...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2010
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/24624 |