A new non-kernel quadratic surface approach for imbalanced data classification in online credit scoring

DOI10.1016/j.ins.2021.02.026zbMath1527.90117OpenAlexW3129346962MaRDI QIDQ6064472

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Publication date: 9 November 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.02.026

zbMATH Keywords

imbalanced data classificationhomocentric quadratic surfacesmaximization margin principleonline credit scoring

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

Related Items (1)

\(\epsilon\)-kernel-free soft quadratic surface support vector regression

Cites Work

• Instance-based credit risk assessment for investment decisions in P2P lending
• An efficient weighted Lagrangian twin support vector machine for imbalanced data classification
• On regularisation parameter transformation of support vector machines
• A twin-hypersphere support vector machine classifier and the fast learning algorithm
• Fuzzy quadratic surface support vector machine based on Fisher discriminant analysis
• Machine Learning: ECML 2004
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