Least squares approach to K-SVCR multi-class classification with its applications

DOI10.1007/S10472-021-09747-1OpenAlexW3176403276MaRDI QIDQ2163855

Hossein Moosaei, Milan Hladík

Publication date: 11 August 2022

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-021-09747-1

zbMATH Keywords

least squaressupport vector machinemulti-class classificationK-SVCRtwin-KSVC

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Related Items (1)

A Lagrangian-based approach for universum twin bounded support vector machine with its applications

Uses Software

• UCI-ml
• ElemStatLearn

Cites Work

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• Approximations of the critical region of the fbietkan statistic
• A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings

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