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Ensemble of Rotation Trees for Imbalanced Medical Datasets
Medical datasets are often predominately composed of “normal” examples with only a small percentage of “abnormal” ones and how to correctly recognize the abnormal examples is very meaningful. However, conventional classification learning methods try to pursue high accuracy by assuming that the numbe...
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| 發表在: | J Healthc Eng |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Hindawi
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5914103/ https://ncbi.nlm.nih.gov/pubmed/29850005 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/8902981 |
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