Multi-label learning with missing labels using sparse global structure for label-specific features

Sanjay Kumar; Nadira Ahmadi; Reshma Rastogi

doi:10.1007/s10489-022-04439-7

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Multi-label learning with missing labels using sparse global structure for label-specific features

Sanjay Kumar Nadira Ahmadi Reshma Rastogi

Year: 2023 Journal: Applied Intelligence Vol: 53 (15)Pages: 18155-18170 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-022-04439-7

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Keywords:

Multi-label classification Computer science Artificial intelligence Machine learning Spurious relationship Classifier (UML) Pattern recognition (psychology) Curse of dimensionality Feature (linguistics) Benchmark (surveying) Feature vector Data mining

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Web Data Mining and Analysis

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Multi-label learning with missing labels using sparse global structure for label-specific features

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