Uncertain data classification with additive kernel support vector machine
文献类型：期刊论文
| 作者 | Xie, Zongxia1,2,3; Xu, Yong3; Hu, Qinghua4 |
| 刊名 | DATA & KNOWLEDGE ENGINEERING
 |
| 出版日期 | 2018-09-01 |
| 卷号 | 117页码:87-97 |
| 关键词 | Uncertain data Additive kernel Support vector machines Classification |
| ISSN号 | 0169-023X |
| DOI | 10.1016/j.datak.2018.07.004 |
| 英文摘要 | In this work, a classification learning algorithm is designed within the framework of support vector machines through modeling uncertain data with additive kernels, which are introduced to calculate the similarity between uncertain samples characterized by probability density functions (PDFs). The PDFs are used as features of the uncertain samples, where the value of a feature is not a single value, but a set of values that represent the probability distribution of the noise. This is different with the existing methods which represent an uncertain sample by a set of new samples around it, but use the farthest or nearest value in the distribution to construct the optimal hyperplane. With the properties of kernel functions, we can easily extend additive kernels to compute the similarity between samples described with multiple uncertain features. Furthermore, we introduce an efficient algorithm to compute the kernel functions, and solve the additive kernel SVMs. The experimental results show the efficiency of additive-kernel SVMs in uncertain data classification. |
| WOS关键词 | BIG DATA ; RECOGNITION ; INFORMATION |
| 资助项目 | National Natural Science Foundation of China[61432011] ; National Natural Science Foundation of China[61732011] ; National Natural Science Foundation of China[61105054] ; National Natural Science Foundation of China[61071179] ; National Natural Science Foundation of China[61202259] ; Open Research Program of Key Laboratory of Solar Activity ; China Scholarship Council |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000448496400006 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Open Research Program of Key Laboratory of Solar Activity ; Open Research Program of Key Laboratory of Solar Activity ; China Scholarship Council ; China Scholarship Council ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Open Research Program of Key Laboratory of Solar Activity ; Open Research Program of Key Laboratory of Solar Activity ; China Scholarship Council ; China Scholarship Council ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Open Research Program of Key Laboratory of Solar Activity ; Open Research Program of Key Laboratory of Solar Activity ; China Scholarship Council ; China Scholarship Council ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Open Research Program of Key Laboratory of Solar Activity ; Open Research Program of Key Laboratory of Solar Activity ; China Scholarship Council ; China Scholarship Council |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/23134]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Hu, Qinghua |
| 作者单位 | 1.Tianjin Univ, Sch Comp Software, Tianjin, Peoples R China 2.Chinese Acad Sci, Natl Astron Observ, Key Lab Solar Act, Beijing 100012, Peoples R China 3.Harbin Inst Technol, Shenzhen Grad Sch, Biocomp Res Ctr, Shenzhen, Peoples R China 4.Tianjin Univ, Sch Comp Sci & Technol, Tianjin, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xie, Zongxia,Xu, Yong,Hu, Qinghua. Uncertain data classification with additive kernel support vector machine[J]. DATA & KNOWLEDGE ENGINEERING,2018,117:87-97. |
| APA | Xie, Zongxia,Xu, Yong,&Hu, Qinghua.(2018).Uncertain data classification with additive kernel support vector machine.DATA & KNOWLEDGE ENGINEERING,117,87-97. |
| MLA | Xie, Zongxia,et al."Uncertain data classification with additive kernel support vector machine".DATA & KNOWLEDGE ENGINEERING 117(2018):87-97. |
入库方式： OAI收割
来源：国家天文台
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