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Transfer Learning for Class Imbalance Problems with Inadequate Data
A fundamental problem in data mining is to effectively build robust classifiers in the presence of skewed data distributions. Class imbalance classifiers are trained specifically for skewed distribution datasets. Existing methods assume an ample supply of training examples as a fundamental prerequis...
Shranjeno v:
| izdano v: | Knowl Inf Syst |
|---|---|
| Main Authors: | , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2015
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4929860/ https://ncbi.nlm.nih.gov/pubmed/27378821 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10115-015-0870-3 |
| Oznake: |
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