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} }