Iteratively Reweighted Group Lasso Based on Log-Composite Regularization

Iteratively Reweighted Group Lasso Based on Log-Composite Regularization
复制标题

DOI:
10.1137/20m1349072
复制
发表时间:
2021-08
期刊:
SIAM J. Sci. Comput.
影响因子:
--
通讯作者:
Chengyu Ke;Miju Ahn;Sunyoung Shin;Y. Lou
Chengyu Ke;Miju Ahn;Sunyoung Shin;Y. Lou
中科院分区:
其他
文献类型:
--
作者:
Chengyu Ke;Miju Ahn;Sunyoung Shin;Y. Lou

文献摘要

相似文献

本文研究了具有分组输入特征的标记数据的监督学习问题。这些组是不重叠的,使得对应于输入特征的模型系数形成…
The paper considers supervised learning problems of labeled data with grouped input features. The groups are nonoverlapped such that the model coefficients corresponding to the input features form ...