A novel self-weighted Lasso and its safe screening rule
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Beijing Municipality
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03316-7.pdf
Reference41 articles.
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4. Chen SB, Zhang YM, Ding CHQ, et al. (2019) Extended Adaptive Lasso for multi-class and multi-label feature selection. Knowledge-Based Systems 173:28–36
5. Lee JD, Sun DL, Sun Y, Taylor JE (2016) Exact post-selection inference with application to the Lasso. The Annals of Statistics 44(3):907–927
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