UM
Algorithm of ε-SVR based on a large-scale sample set: Step-by-step search
Zeng S.2; Tang Y.Y.3; Wei Y.2; Wang Y.1
2011-03-01
Source PublicationInternational Journal of Wavelets, Multiresolution and Information Processing
ISSN02196913
Volume9Issue:2Pages:197-210
AbstractIn view of the support vectors of ε-SVR that are not distributed in the ε belt and only located on the outskirts of the ε belt, a novel algorithm to construct ε-SVR of a large-scale training sample set is proposed in this paper. It computes firstly the ε-SVR hyper-plane of a small training sample set and the distances d of all samples to the hyper-plane, then deletes the samples not in field ε ≤ d ≤ d and searches SVs gradually in the scope ε ≤ d ≤ d, and trains step-by-step the final ε-SVR. Finally, it analyzes the time complexity of the algorithm, and verifies its convergence in the theory and tests its efficiency by the simulation. © 2011 World Scientific Publishing Company.
Keywordε-SVR convergence of algorithm searching algorithm simulation
DOI10.1142/S0219691311004031
URLView the original
Language英語
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Chongqing University of Education
2.Chongqing Normal University
3.Chongqing University
Recommended Citation
GB/T 7714
Zeng S.,Tang Y.Y.,Wei Y.,et al. Algorithm of ε-SVR based on a large-scale sample set: Step-by-step search[J]. International Journal of Wavelets, Multiresolution and Information Processing,2011,9(2):197-210.
APA Zeng S.,Tang Y.Y.,Wei Y.,&Wang Y..(2011).Algorithm of ε-SVR based on a large-scale sample set: Step-by-step search.International Journal of Wavelets, Multiresolution and Information Processing,9(2),197-210.
MLA Zeng S.,et al."Algorithm of ε-SVR based on a large-scale sample set: Step-by-step search".International Journal of Wavelets, Multiresolution and Information Processing 9.2(2011):197-210.
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