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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...
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| Publicado en: | Comput Intell Neurosci |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Hindawi
2018
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| Materias: | |
| Acceso en línea: | 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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