A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Multi-label learning refers to methods for learning a set of functions that assigns a set of relevant labels to each instance. One of popular approaches to multi-label learning is label ranking, where a set of ranking functions are learned to order all the labels such that relevant labels are ranked higher than irrelevant ones. Rank-SVM is a representative method for label ranking where ranking loss is minimized in the framework of max margin. However, the dual form in Rank-SVM involves adoi:10.1109/icassp.2013.6638273 dblp:conf/icassp/ParkC13 fatcat:zfc2gebh3neiljnpr3vranq77a