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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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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2020-02-01
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| シリーズ: | International Journal of Computational Intelligence Systems |
| 主題: | |
| オンライン･アクセス: | https://www.atlantis-press.com/article/125935159/view |
| タグ: |
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