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A hybrid reproducing graph kernel based on information entropy(Article)
Bai, L.; Jiang, X.; Xiao, J.; Xu, L.; Luo, B.
刊名Pattern Recognition
2018
卷号Vol.73页码:89-98
关键词Differential operator Graph classification Graph kernel Information entropy Reproducing kernel
ISSN号0031-3203
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2204295
专题安徽大学
作者单位1.Department of Mathematics and Physics, Hefei University, Hefei 230601, Anhui, China
2.Faculty of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, 48149 Münster, Germany
3.Business School, Sichuan University, Chengdu 610064, Sichuan, China
4.School of Information, Central University of Finance and Economics, Beijing, 100081, China
5.a School of Computer Science and Technology, Anhui University, Hefei 230601, Anhui, China
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GB/T 7714
Bai, L.,Jiang, X.,Xiao, J.,et al. A hybrid reproducing graph kernel based on information entropy(Article)[J]. Pattern Recognition,2018,Vol.73:89-98.
APA Bai, L.,Jiang, X.,Xiao, J.,Xu, L.,&Luo, B..(2018).A hybrid reproducing graph kernel based on information entropy(Article).Pattern Recognition,Vol.73,89-98.
MLA Bai, L.,et al."A hybrid reproducing graph kernel based on information entropy(Article)".Pattern Recognition Vol.73(2018):89-98.
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