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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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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Springer
2020-02-01
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| Serie: | International Journal of Computational Intelligence Systems |
| Ämnen: | |
| Länkar: | https://www.atlantis-press.com/article/125935159/view |
| Taggar: |
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