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Feature Selection Based on a Novel Improved Tree Growth Algorithm

Feature selection plays a significant role in the field of data mining and machine learning to reduce the data dimension, speed up the model building process and improve algorithm performance. Tree growth algorithm (TGA) is a recent proposed population-based metaheuristic, which shows great power of...

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Главные авторы: Changkang Zhong, Yu Chen, Jian Peng
Формат: Artigo
Язык:Inglês
Опубликовано: Springer 2020-02-01
Серии:International Journal of Computational Intelligence Systems
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Online-ссылка:https://www.atlantis-press.com/article/125935159/view
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