English
资源说明：This article presents a Support Vector Machine (SVM) like learning sys-
tem to handle multi-label problems. Such problems are usually decom-
posed into many two-class problems but the expressive power of such a
system can be weak [5, 7]. We explore a new direct approach. It is based
on a large margin ranking system that shares a lot of common proper-
ties with SVMs. We tested it on a Yeast gene functional classification
problem with positive results.
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