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First Author : Liu, Huawen

Date of Publication : 2018-01-01

Journal : International Journal of Machine Learning and Cybernetics

Affiliation of Author(s) : 数理与信息工程学院

Document Type : 期刊

Volume : Vol.9

Issue : No.2

Page Number : 335-346

ISSN : 1868-8071

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

Abstract : 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

Translation or Not : no