A kernel-free double well potential support vector machine with applications

DOI10.1016/j.ejor.2020.10.040zbMath1487.68194OpenAlexW3095805331MaRDI QIDQ2029332

Jian Luo, Zheming Gao, Shu-Cherng Fang, Negash G. Medhin

Publication date: 3 June 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2020.10.040

zbMATH Keywords

data sciencesupport vector machinebinary classificationdouble well potential functionkernel-free SVM

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Quadratic programming (90C20)

Related Items

Quadratic surface support vector machine with L1 norm regularization, Design of semi-tensor product-based kernel function for SVM nonlinear classification, \(\epsilon\)-kernel-free soft quadratic surface support vector regression, A maximum-margin multisphere approach for binary multiple instance learning

Uses Software

• UCI-ml

Cites Work

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