A supervised multi-view feature selection method based on locally sparse regularization and block computing

Qiang Lin, Min Men, Liran Yang, Ping Zhong. A supervised multi-view feature selection method based on locally sparse regularization and block computing. Inf. Sci., 582:146-166, 2022. [doi]

@article{LinMYZ22,
  title = {A supervised multi-view feature selection method based on locally sparse regularization and block computing},
  author = {Qiang Lin and Min Men and Liran Yang and Ping Zhong},
  year = {2022},
  doi = {10.1016/j.ins.2021.09.009},
  url = {https://doi.org/10.1016/j.ins.2021.09.009},
  researchr = {https://researchr.org/publication/LinMYZ22},
  cites = {0},
  citedby = {0},
  journal = {Inf. Sci.},
  volume = {582},
  pages = {146-166},
}