A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples

Bangzuo Zhang, WanLi Zuo. A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples. In Hang Li, Ting Liu, Wei-Ying Ma, Tetsuya Sakai, Kam-Fai Wong, Guodong Zhou, editors, Information Retrieval Technology, 4th Asia Infomation Retrieval Symposium, AIRS 2008, Harbin, China, January 15-18, 2008, Revised Selected Papers. Volume 4993 of Lecture Notes in Computer Science, pages 385-392, Springer, 2008. [doi]

@inproceedings{ZhangZ08:30,
  title = {A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples},
  author = {Bangzuo Zhang and WanLi Zuo},
  year = {2008},
  doi = {10.1007/978-3-540-68636-1_37},
  url = {http://dx.doi.org/10.1007/978-3-540-68636-1_37},
  tags = {rule-based},
  researchr = {https://researchr.org/publication/ZhangZ08%3A30},
  cites = {0},
  citedby = {0},
  pages = {385-392},
  booktitle = {Information Retrieval Technology, 4th Asia Infomation Retrieval Symposium, AIRS 2008, Harbin, China, January 15-18, 2008, Revised Selected Papers},
  editor = {Hang Li and Ting Liu and Wei-Ying Ma and Tetsuya Sakai and Kam-Fai Wong and Guodong Zhou},
  volume = {4993},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-68633-0},
}