Semi-supervised multi-label feature selection combining nonlinear manifold structure and minimizing group sparse redundant correlation.

Saved in:
Bibliographic Details
Title: Semi-supervised multi-label feature selection combining nonlinear manifold structure and minimizing group sparse redundant correlation.
Authors: Li, Runxin1,2, rxli@kust.edu.cn, Yang, Xiong2, yangx@stu.kust.edu.cn, Li, Xiaowu2, lxwlxw66@kust.edu.cn, Shu, Guofeng2, shuguofeng@kust.edu.cn, Jia, Lianyin2, lianyinjia@kust.edu.cn, Shang, Zhenhong1,2, szh@kust.edu.cn
Source: Expert Systems with Applications; May2025, Vol. 273, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
Be the first to leave a comment!
You must be logged in first