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Embedding Undersampling Rotation Forest for Imbalanced Problem
Rotation Forest is an ensemble learning approach achieving better performance comparing to Bagging and Boosting through building accurate and diverse classifiers using rotated feature space. However, like other conventional classifiers, Rotation Forest does not work well on the imbalanced data which...
שמור ב:
| הוצא לאור ב: | Comput Intell Neurosci |
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| Main Authors: | , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Hindawi
2018
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6236578/ https://ncbi.nlm.nih.gov/pubmed/30515200 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/6798042 |
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