Multi-label learning: a review of the state of the art and ongoing research
Author:
Affiliation:
1. Department of Computer Sciences and Numerical Analysis; University of Córdoba, Córdoba; Spain
2. King Abdulaziz University, Jeddah; Saudi Arabia
Funder
Ministry of Science and Technology project
Publisher
Wiley
Subject
General Computer Science
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/widm.1139/fullpdf
Reference270 articles.
1. A Review On Multi-Label Learning Algorithms;Zhang;IEEE Trans Knowl Data Eng,2014
2. http://lpis.csd.auth.gr/workshops/mld09/mld09.pdf 2009
3. http://cse.seu.edu.cn/conf/MLD10/files/MLD'10.pdf 2010
4. http://nips.cc/Conferences/2013/Program/event.php?ID=3707 2013
5. Special issue on learning from multi-label data Mach Learn 2012 88
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