NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm-Reference-Cited by-同舟云学术

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NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm

Published:2020-05 Issue: Volume:90 Page:106142
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chen Wei-Jie^ORCID,Shao Yuan-Hai^ORCID,Li Chun-Na^ORCID,Wang Yu-Qing,Liu Ming-Zeng^ORCID,Wang Zhen^ORCID

Funder

Natural Science Foundation of Hainan Province

Natural Science Foundation of Zhejiang Province

China Scholarship Council

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference58 articles.

1. Statistical Learning Theory;Vapnik,1998

2. Support Vector Machines: Theory, Algorithms and Extensions;Deng,2013

3. Core vector machines: Fast SVM training on very large data sets;Tsang;J. Mach. Learn. Res.,2005

4. Single versus union: Non-parallel support vector machine frameworks;Li,2019

5. Scene classification based on single-layer SAE and SVM;Yin;Expert Syst. Appl.,2015

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