Support vector regression model with variant tolerance

Most works on Support Vector Regression (SVR) focus on kernel or loss functions, with the corresponding support vectors obtained using a fixed-radius ε -tube, affording good predictive performance on datasets. However, the fixed radius limitation prevents the adaptive selection of support vectors ac...

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Bibliographic Details

Published in:	Measurement and control (London) Vol. 56; no. 9-10; pp. 1705 - 1719
Main Authors:	Wei, Jiangyue, He, Xiaoxia
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 01.11.2023 Sage Publications Ltd SAGE Publishing
Subjects:	Algorithms Data points Datasets Outliers (statistics) Performance prediction Regression models Support vector machines non-deterministic algorithm Support Vector Regression Alterable εi
ISSN:	0020-2940, 2051-8730
Online Access:	Get full text
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