ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning.
Zhongnian Li|Meng Wei|Peng Ying|Xinzheng Xu
| Anthology ID: | DBLP:conf/wsdm/Li0YX25 |
|---|---|
| Volume: | Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025 |
| Year: | 2025 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 439-447 |
| URL: | https://doi.org/10.1145/3701551.3703526 |
| DOI: | https://doi.org/10.1145/3701551.3703526 |
| DBLP: | conf/wsdm/Li0YX25 |
| BibTeX: |
@inproceedings{li-2025-esa,
author = {Zhongnian Li and
Meng Wei and
Peng Ying and
Xinzheng Xu},
editor = {Wolfgang Nejdl and
S\"{o}ren Auer and
Meeyoung Cha and
Marie-Francine Moens and
Marc Najork},
title = {{ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning}},
booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}},
pages = {439--447},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701551.3703526},
doi = {https://doi.org/10.1145/3701551.3703526}
}