Novel Combined Variable Selection Approach Using Memetic Algorithm With Complex Harmonic Regularization
Variable selection has been highly successful in big data analyses, and regularization approaches are commonly used methods, which can automatically select important variables while constructing machine learning models. Due to the real datasets have complex relationships between relevant variable gr...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9134768/ |