Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency.

Yuanyuan Xu|Jun Wang|Shuai An|Jinmao Wei|Jianhua Ruan


Anthology ID:DBLP:conf/cikm/Xu0AWR18
Volume:Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
Year:2018
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:783-792
URL:https://doi.org/10.1145/3269206.3271760
DOI:https://doi.org/10.1145/3269206.3271760
DBLP:conf/cikm/Xu0AWR18
BibTeX:
@inproceedings{xu-2018-semisupervised, author = {Yuanyuan Xu and Jun Wang and Shuai An and Jinmao Wei and Jianhua Ruan}, editor = {Alfredo Cuzzocrea and James Allan and Norman W. Paton and Divesh Srivastava and Rakesh Agrawal and Andrei Z. Broder and Mohammed J. Zaki and K. Sel\c{c}uk Candan and Alexandros Labrinidis and Assaf Schuster and Haixun Wang}, title = {{Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency}}, booktitle = {{Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018}}, pages = {783--792}, publisher = {ACM}, year = {2018}, url = {https://doi.org/10.1145/3269206.3271760}, doi = {https://doi.org/10.1145/3269206.3271760} }