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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: Zhanshan LI, Zhaogeng LIU
Формат: Artigo
Язык:Chinês
Опубликовано: Editorial Department of Journal on Communications 2019-10-01
Серии:Tongxin xuebao
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Online-ссылка:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019154/
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