Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning

XiMing Li, Yang Wang. Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning. In Christian Bessiere, editor, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 [scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic]. pages 1373-1380, ijcai.org, 2020. [doi]

@inproceedings{LiW20-33,
  title = {Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning},
  author = {XiMing Li and Yang Wang},
  year = {2020},
  doi = {10.24963/ijcai.2020/191},
  url = {https://doi.org/10.24963/ijcai.2020/191},
  researchr = {https://researchr.org/publication/LiW20-33},
  cites = {0},
  citedby = {0},
  pages = {1373-1380},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 [scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic]},
  editor = {Christian Bessiere},
  publisher = {ijcai.org},
}