Fuzzy least squares projection twin support vector machines for class imbalance learning

M. A. Ganaie; M. Tanveer

doi:10.1016/j.asoc.2021.107933

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Fuzzy least squares projection twin support vector machines for class imbalance learning

M. A. Ganaie M. Tanveer

Year: 2021 Journal: Applied Soft Computing Vol: 113 Pages: 107933-107933 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2021.107933

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Keywords:

Support vector machine Computer science Projection (relational algebra) Artificial intelligence Pattern recognition (psychology) Regularization (linguistics) Classifier (UML) Fuzzy logic Machine learning Algorithm Mathematics

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Fuzzy least squares projection twin support vector machines for class imbalance learning

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