Multi-label feature selection with high-sparse personalized and low-redundancy shared common features

Author:

Li Yonghao,Hu Liang,Gao WanfuORCID

Funder

Changchun Science and Technology Bureau

Natural Science Foundation of Jilin Province

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Reference47 articles.

1. Convex optimization;Boyd,2004

2. Graph regularized nonnegative matrix factorization for data representation;Cai;IEEE Transactions on Pattern Analysis and Machine Intelligence,2010

3. Cai, X., Nie, F., & Huang, H. (2013). Exact top-k feature selection via l2, 0-norm constraint. In Twenty-third international joint conference on artificial intelligence.

4. Multi-label feature selection by strongly relevant label gain and label mutual aid;Dai;Pattern Recognition,2024

5. Maximum likelihood from incomplete data via the EM algorithm;Dempster;Journal of the Royal Statistical Society. Series B. Statistical Methodology,1977

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