Joint Label-Specific Features and Correlation Information for Multi-Label Learning

Xiuyi Jia; Sai-Sai Zhu; Weiwei Li

doi:10.1007/s11390-020-9900-z

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Joint Label-Specific Features and Correlation Information for Multi-Label Learning

Xiuyi Jia Sai-Sai Zhu Weiwei Li

Year: 2020 Journal: Journal of Computer Science and Technology Vol: 35 (2)Pages: 247-258 Publisher: Springer Science+Business Media

DOI: 10.1007/s11390-020-9900-z

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Keywords:

Computer science Machine learning Artificial intelligence Correlation Benchmark (surveying) Pattern recognition (psychology) Feature (linguistics) Exploit Set (abstract data type) Multi-label classification Class (philosophy) Process (computing) Feature vector Rank (graph theory) Mathematics

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Web Data Mining and Analysis

Physical Sciences → Computer Science → Information Systems

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Joint Label-Specific Features and Correlation Information for Multi-Label Learning

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