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Online Support Vector Machine with a Single Pass for Streaming Data

文献类型：期刊论文

作者Hu, Lisha2; Hu, Chunyu3; Huo, Zheng2; Jiang, Xinlong1; Wang, Suzhen2
刊名MATHEMATICS
出版日期2022-09-01
卷号10期号:17页码:24
关键词online learning support vector machine minimum enclosing ball
DOI10.3390/math10173113
英文摘要In this paper, we focus on training a support vector machine (SVM) online with a single pass over streaming data.Traditional batch-mode SVMs require previously prepared training data; these models may be unsuitable for streaming data circumstances. Online SVMs are effective tools for solving this problem by receiving data streams consistently and updating model weights accordingly. However, most online SVMs require multiple data passes before the updated weights converge to stable solutions, and may be unable to address high-rate data streams. This paper presents OSVM_SP, a new online SVM with a single pass over streaming data, and three budgeted versions to bound the space requirement with support vector removal principles. The experimental results obtained with five public datasets show that OSVM_SP outperforms most state-of-the-art single-pass online algorithms in terms of accuracy and is comparable to batch-mode SVMs. Furthermore, the proposed budgeted algorithms achieve comparable predictive performance with only 1/3 of the space requirement.
资助项目National Natural Science Foundation of China[62002187] ; National Natural Science Foundation of China[62002098] ; National Natural Science Foundation of China[61902379] ; Natural Science Foundation of Hebei Province[F2020207001] ; Natural Science Foundation of Hebei Province[F2021207005] ; Scientific Research and Development Program Fund Project of Hebei University of Economics and Business[2022ZD10] ; Youth Innovation Promotion Association CAS
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000851895400001
出版者MDPI
源URL[http://119.78.100.204/handle/2XEOYT63/19422]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Hu, Chunyu
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Hebei Univ Econ & Business, Inst Informat Technol, Shijiazhuang 050061, Hebei, Peoples R China
3.Qilu Univ Technol, Sch Comp Sci & Technol, Shandong Acad Sci, Jinan 250353, Peoples R China
推荐引用方式
GB/T 7714		 Hu, Lisha,Hu, Chunyu,Huo, Zheng,et al. Online Support Vector Machine with a Single Pass for Streaming Data[J]. MATHEMATICS,2022,10(17):24.
APA Hu, Lisha,Hu, Chunyu,Huo, Zheng,Jiang, Xinlong,&Wang, Suzhen.(2022).Online Support Vector Machine with a Single Pass for Streaming Data.MATHEMATICS,10(17),24.
MLA Hu, Lisha,et al."Online Support Vector Machine with a Single Pass for Streaming Data".MATHEMATICS 10.17(2022):24.

入库方式： OAI收割

来源：计算技术研究所

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