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Multi-label learning algorithm with SVM based association

Feng Pan Qin Danyang Ji Ping Ma Jingya Zhang Yan Yang Songxiang

高技术通讯（英文版）2019，Vol.25Issue(1)：97-104,8.

高技术通讯（英文版）2019，Vol.25Issue(1)：97-104,8.DOI:10.3772/j.issn.1006-6748.2019.01.013

Multi-label learning algorithm with SVM based association

Feng Pan ¹Qin Danyang ¹Ji Ping ¹Ma Jingya ¹Zhang Yan ¹Yang Songxiang²

作者信息

1. Key Laboratory of Electronic and Communication Engineering, Heilongjiang University, Harbin 150080, P. R. China
2. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China
折叠

摘要

关键词

multi-label learning/missing labels/association/support vector machine ( SVM)

Key words

multi-label learning/missing labels/association/support vector machine ( SVM)

引用本文复制引用

Feng Pan,Qin Danyang,Ji Ping,Ma Jingya,Zhang Yan,Yang Songxiang..Multi-label learning algorithm with SVM based association[J].高技术通讯（英文版）,2019,25(1):97-104,8.

基金项目

Support by the National High Technology Research and Development Program of China (No. 2012AA120802), National Natural Science Foun-dation of China (No. 61771186), Postdoctoral Research Project of Heilongjiang Province (No. LBH-Q15121), Undergraduate University Pro-ject of Young Scientist Creative Talent of Heilongjiang Province (No. UNPYSCT-2017125). （No. 2012AA120802）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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