Deep-gKnock: nonlinear group-feature selection with deep neural network

doi:doi:10.57702/gf3rq2hd

Deep-gKnock: nonlinear group-feature selection with deep neural network

Feature selection for high-dimensional data is of fundamental importance for different applications across various scientific disciplines. Grouping structure among features arises naturally in many statistical modeling problems.

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Guangyu Zhu, Tingting Zhao (2024). Dataset: Deep-gKnock: nonlinear group-feature selection with deep neural network. https://doi.org/10.57702/gf3rq2hd

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Guangyu Zhu
More Authors	Tingting Zhao