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Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions
Distance weighted discrimination (DWD) is an appealing classification method that is capable of overcoming data piling problems in high-dimensional settings. Especially when various sparsity structures are assumed in these settings, variable selection in multicategory classification poses great chal...
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| Опубликовано в: : | Entropy (Basel) |
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| Главные авторы: | , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7712546/ https://ncbi.nlm.nih.gov/pubmed/33287025 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22111257 |
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