Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation

Research article (Applied Soft Computing, 2020) · cited 41× · AI/ML
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Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation

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Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-selection-based-on-regularization-of-sparsity-based-regression-models-by-hesitant-fuzzy-correlation
MLA “Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-selection-based-on-regularization-of-sparsity-based-regression-models-by-hesitant-fuzzy-correlation.
BibTeX @misc{4ortxyz_feature-selection-based-on-regularization-of-sparsity-based-regression-models-by-hesitant-fuzzy-correlation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation}}, year = {2026}, url = {https://4ort.xyz/entity/feature-selection-based-on-regularization-of-sparsity-based-regression-models-by-hesitant-fuzzy-correlation}, note = {Accessed: 2026-05-24}}
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