טוען...
Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data
BACKGROUND: Feature selection in class-imbalance learning has gained increasing attention in recent years due to the massive growth of high-dimensional class-imbalanced data across many scientific fields. In addition to reducing model complexity and discovering key biomarkers, feature selection is a...
שמור ב:
| הוצא לאור ב: | BMC Bioinformatics |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
BioMed Central
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7092448/ https://ncbi.nlm.nih.gov/pubmed/32293252 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3411-3 |
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