Parameter selection of Gaussian kernel SVM based on local density of training set

DOI10.1080/17415977.2020.1797716OpenAlexW3045794674MaRDI QIDQ5153272

Jingbo Sun, Jiawei Yang, Patrick N. Okolo, Hailong Zhao, Z. Wu, Ke Peng, Wei-Hua Zhang

Publication date: 29 September 2021

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2020.1797716

zbMATH Keywords

Gaussian kernelparameter selectionsupport vector machinekernel widthpenalty factor

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Artificial intelligence (68Txx)

Cites Work

• An event-triggered robust control and bandwidth scheduling codesign approach for networked control systems with uncertain time delays
• Formulations of Support Vector Machines: A Note from an Optimization Point of View
• Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
• A simple decomposition method for support vector machines

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