Can irrelevant data help semi-supervised learning, why and how?
Haiqin Yang|Shenghuo Zhu|Irwin King|Michael R. Lyu
| Anthology ID: | DBLP:conf/cikm/YangZKL11 |
|---|---|
| Volume: | Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011 |
| Year: | 2011 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 937-946 |
| URL: | https://doi.org/10.1145/2063576.2063711 |
| DOI: | https://doi.org/10.1145/2063576.2063711 |
| DBLP: | conf/cikm/YangZKL11 |
| BibTeX: |
@inproceedings{yang-2011-irrelevant,
author = {Haiqin Yang and
Shenghuo Zhu and
Irwin King and
Michael R. Lyu},
editor = {Craig Macdonald and
Iadh Ounis and
Ian Ruthven},
title = {{Can irrelevant data help semi-supervised learning, why and how?}},
booktitle = {{Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011}},
pages = {937--946},
publisher = {ACM},
year = {2011},
url = {https://doi.org/10.1145/2063576.2063711},
doi = {https://doi.org/10.1145/2063576.2063711}
}