GSparO: Group Sparse Optimization

Approaches a group sparse solution of an underdetermined linear system. It implements the proximal gradient algorithm to solve a lower regularization model of group sparse learning. For details, please refer to the paper "Y. Hu, C. Li, K. Meng, J. Qin and X. Yang. Group sparse optimization via l_{p,q} regularization. Journal of Machine Learning Research, to appear, 2017".

Getting started

Package details

AuthorYaohua Hu [aut, cre, cph], Xinlin Hu [trl]
MaintainerYaohua Hu <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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GSparO documentation built on May 2, 2019, 6:42 a.m.