Feature selection algorithm based on XGBoost
Feature selection in classification has always been an important but difficult problem.This kind of problem requires that feature selection algorithms can not only help classifiers to improve the classification accuracy,but also reduce the redundant features as much as possible.Therefore,in order to...
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| Главные авторы: | , |
|---|---|
| Формат: | Artigo |
| Язык: | Chinês |
| Опубликовано: |
Editorial Department of Journal on Communications
2019-10-01
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| Серии: | Tongxin xuebao |
| Предметы: | |
| Online-ссылка: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019154/ |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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