Kernel reconstruction learning
文献类型:期刊论文
作者 | Wu, Yun1,2; Xiong, Shifeng2 |
刊名 | NEUROCOMPUTING
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出版日期 | 2023-02-14 |
卷号 | 522页码:1-10 |
关键词 | Kernel method Representer theorem Interpolation Classification Density estimation Sequential algorithm |
ISSN号 | 0925-2312 |
DOI | 10.1016/j.neucom.2022.12.015 |
英文摘要 | This paper proposes a class of kernel interpolation-based methods, called kernel reconstruction learning, for solving machine learning problems. Kernel reconstruction learning uses kernel interpolators to recon-struct the unknown functions, which are needed to estimate in the problem, with estimated function val-ues at selected knots. It can be applied to any learning problem that involves function estimation. We prove a reconstruction representer theorem, which indicates that conventional kernel methods, including kernel ridge regression, kernel support vector machine, and kernel logistic regression, can be viewed as special cases of kernel reconstruction learning. Furthermore, kernel reconstruction learning provides new algorithms for large datasets. The kernel reconstruction vector machine, kernel reconstruction logistic regression, and kernel reconstruction density estimation are discussed in detail. With appropriate imple-mentations, they are shown to have higher prediction/estimation accuracy and/or less computational cost than popular kernel methods.(c) 2022 Elsevier B.V. All rights reserved. |
资助项目 | National Natural Science Foundation of China ; [12171462] |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000904832400001 |
出版者 | ELSEVIER |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/60458] ![]() |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Xiong, Shifeng |
作者单位 | 1.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, KLSC, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Yun,Xiong, Shifeng. Kernel reconstruction learning[J]. NEUROCOMPUTING,2023,522:1-10. |
APA | Wu, Yun,&Xiong, Shifeng.(2023).Kernel reconstruction learning.NEUROCOMPUTING,522,1-10. |
MLA | Wu, Yun,et al."Kernel reconstruction learning".NEUROCOMPUTING 522(2023):1-10. |
入库方式: OAI收割
来源:数学与系统科学研究院
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