READER: Robust Semi-Supervised Multi-Label Dimension Reduction
نویسندگان
چکیده
منابع مشابه
READER: Robust Semi-Supervised Multi-Label Dimension Reduction
Multi-label classification is an appealing and challenging supervised learning problem, where multiple labels, rather than a single label, are associated with an unseen test instance. To remove possible noises in labels and features of high-dimensionality, multi-label dimension reduction has attracted more and more attentions in recent years. The existing methods usually suffer from several pro...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2017
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2017edp7184