Imbalance multi-label data learning with label specific features

Reshma Rastogi; Sayed Mortaza

doi:10.1016/j.neucom.2022.09.085

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Imbalance multi-label data learning with label specific features

Reshma Rastogi Sayed Mortaza

Year: 2022 Journal: Neurocomputing Vol: 513 Pages: 395-408 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2022.09.085

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Keywords:

Multi-label classification Binary classification Computer science Outlier Hinge loss Artificial intelligence Classifier (UML) Machine learning Class (philosophy) Pattern recognition (psychology) Binary number One-class classification Benchmark (surveying) Mathematics Support vector machine

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Imbalance multi-label data learning with label specific features

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