DCA based approaches for Bi-level variable selection and application for estimate multiple sparse covariance matrices

Title
DCA based approaches for Bi-level variable selection and application for estimate multiple sparse covariance matrices
Authors
Keywords
Bi-level variable selection, Mixed norm, Nonconvex approximation, Multiple covariance matrices, DC programming, DCA
Journal
NEUROCOMPUTING
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-09-21
DOI
10.1016/j.neucom.2021.09.039

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More