SSRNML & AI Methods
Weighted Sparse Regression for Feature Selection
The paper suggests a Weighted Sparse Regression with Mutual Information model for feature selection in high-dimensional data, improving learning accuracy and result comprehensibility.
Featured in No. 92 on 9 Apr 2025 · 5 days after release
- Released
- 4 Apr 2025
- First featured
- No. 92 · 9 Apr 2025
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 2
- Identifier
- SSRN 5204899
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