Ramp loss for twin multi-class support vector classification

DOI10.1080/00207721.2020.1765047OpenAlexW3025834228MaRDI QIDQ5026718

Huiru Wang, Sijie Lu, Zhi-Jian Zhou

Publication date: 8 February 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2020.1765047

zbMATH Keywords

insensitivityCCCPhinge lossramp lossTKSVC

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Trends in extreme learning machines: a review
• A twin-hypersphere support vector machine classifier and the fast learning algorithm
• A \(\nu \)-twin support vector machine (\(\nu \)-TSVM) classifier and its geometric algorithms
• Least squares twin support vector machine with Universum data for classification
• An improved Bonferroni procedure for multiple tests of significance