UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. Despite its importance, the constan...
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2024
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