A Model Fusion Based Framework For Imbalanced Classification Problem with Noisy Dataset
abstract: Data imbalance and data noise often coexist in real world datasets. Data imbalance affects the learning classifier by degrading the recognition power of the classifier on the minority class, while data noise affects the learning classifier by providing inaccurate information and thus misle...
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| Format: | Doctoral Thesis |
| Language: | English |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/2286/R.I.26834 |