You're currently viewing an old version of this dataset. To see the current version, click here.

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.

Data and Resources

This dataset has no data

Cite this as

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

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