Robust regression using support vector regressions

DOI10.1016/J.CHAOS.2021.110738zbMath1498.62130OpenAlexW3126347505MaRDI QIDQ2131669

Seyed Mohammad Hossein Hasheminejad, Mostafa Sabzekar

Publication date: 26 April 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2021.110738

zbMATH Keywords

support vector regressionoutiliersrobusnesstraining noisy data

Mathematics Subject Classification ID

Robustness and adaptive procedures (parametric inference) (62F35) General nonlinear regression (62J02)

Cites Work

• A robust regression based on weighted LSSVM and penalized trimmed squares
• Practical selection of SVM parameters and noise estimation for SVM regression
• Some Recent Investigations of a New Fuzzy Partitioning Algorithm and its Application to Pattern Classification Problems
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