Institute of Computing Technology, Chinese Academy IR
Online Support Vector Machine with a Single Pass for Streaming Data | |
Hu, Lisha1; Hu, Chunyu2; Huo, Zheng1; Jiang, Xinlong3; Wang, Suzhen1 | |
2022-09-01 | |
发表期刊 | MATHEMATICS |
卷号 | 10期号:17页码:24 |
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. |
关键词 | online learning support vector machine minimum enclosing ball |
DOI | 10.3390/math10173113 |
收录类别 | SCI |
语种 | 英语 |
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 |
WOS类目 | Mathematics |
WOS记录号 | WOS:000851895400001 |
出版者 | MDPI |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/19423 |
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.Hebei Univ Econ & Business, Inst Informat Technol, Shijiazhuang 050061, Hebei, Peoples R China 2.Qilu Univ Technol, Sch Comp Sci & Technol, Shandong Acad Sci, Jinan 250353, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, 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. |
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