Geometrically Preserved Dual Projections Learning for Multi-label Classification
Author:
Funder
Primary Research & Development Plan of Jiangsu Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-023-11265-6.pdf
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5. Soheili M, Eftekhari Moghadam AM (2016) Feature selection in multi-label classification through mlqpfs, pp. 430–434
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