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发布时间：2018-12-18

第一作者：Liu, Huawen

发表时间：2018-01-01

发表刊物：International Journal of Machine Learning and Cybernetics

所属单位：数理与信息工程学院

文献类型：期刊

卷号：Vol.9

期号：No.2

页面范围： 335-346

ISSN号：1868-8071

关键字：Multi-label learning;Partial least squares discriminant analysis;L-2-norm penalty;Dimension reduction

摘要：In reality, data objects often belong to several different categories simultaneously, which are semantically correlated to each other. Multi-label learning can handle and extract useful information from such kind of data effectively. Since it has a great

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