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Online Streaming Feature Selection via Multi-Conditional Independence and Mutual Information Entropy†
The goals of feature selection are to remove redundant and irrelevant features from high-dimensional data, extract the “optimal feature subset” of the original feature space to improve the classification accuracy, and reduce the time complexity. Traditional feature selection algorithms are based on...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2020-05-01
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| Colecção: | International Journal of Computational Intelligence Systems |
| Assuntos: | |
| Acesso em linha: | https://www.atlantis-press.com/article/125939887/view |
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