Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy
Feature selection refers to a vital function in machine learning and data mining. The maximum weight minimum redundancy feature selection method not only considers the importance of features but also reduces the redundancy among features. However, the characteristics of various datasets are not iden...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2023-02-01
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| Серии: | Entropy |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/1099-4300/25/2/325 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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