Least squares recursive projection twin support vector machine for multi-class classification

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-015-0394-x ◽

2015 ◽

Vol 7 (3) ◽

pp. 411-426 ◽

Author(s):

Zhi-Min Yang ◽

He-Ji Wu ◽

Chun-Na Li ◽

Yuan-Hai Shao

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Twin Support Vector Machine ◽

Support Vector ◽

Multi Class Classification

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Least Squares Twin Support Vector Machine for Multi-Class Classification

International Journal of Database Theory and Application ◽

10.14257/ijdta.2015.8.5.06 ◽

2015 ◽

Vol 8 (5) ◽

pp. 65-76 ◽

Author(s):

Sugen Chen ◽

Juan Xu

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Twin Support Vector Machine ◽

Support Vector ◽

Multi Class Classification

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A comparison on multi-class classification methods based on least squares twin support vector machine

Knowledge-Based Systems ◽

10.1016/j.knosys.2015.02.009 ◽

2015 ◽

Vol 81 ◽

pp. 131-147 ◽

Author(s):

Divya Tomar ◽

Sonali Agarwal

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Twin Support Vector Machine ◽

Support Vector ◽

Classification Methods ◽

Multi Class Classification

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Multi-category laplacian least squares twin support vector machine

Applied Intelligence ◽

10.1007/s10489-016-0770-6 ◽

2016 ◽

Vol 45 (2) ◽

pp. 458-474 ◽

Author(s):

Reshma Khemchandani ◽

Aman Pal

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Twin Support Vector Machine ◽

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Leak Detection and Location of Pipelines Based on LMD and Least Squares Twin Support Vector Machine

IEEE Access ◽

10.1109/access.2017.2703122 ◽

2017 ◽

Vol 5 ◽

pp. 8659-8668 ◽

Author(s):

Xianming Lang ◽

Ping Li ◽

Zhiyong Hu ◽

Hong Ren ◽

Yan Li

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Leak Detection ◽

Twin Support Vector Machine ◽

Support Vector ◽

Leak Detection And Location

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INTRUSION DETECTION BASED ON IMPROVED LEAST SQUARES MULTI-CLASSIFICATION TWIN SUPPORT VECTOR MACHINE

Journal of Mathematical Sciences Advances and Applications ◽

10.18642/jmsaa_7100121648 ◽

2016 ◽

Vol 39 (1) ◽

pp. 1-20

Keyword(s):

Support Vector Machine ◽

Intrusion Detection ◽

Least Squares ◽

Twin Support Vector Machine ◽

Support Vector ◽

Multi Classification

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Multiple recursive projection twin support vector machine for multi-class classification

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-014-0289-2 ◽

2014 ◽

Vol 7 (5) ◽

pp. 729-740 ◽

Author(s):

Chun-Na Li ◽

Yun-Feng Huang ◽

He-Ji Wu ◽

Yuan-Hai Shao ◽

Zhi-Min Yang

Keyword(s):

Support Vector Machine ◽

Twin Support Vector Machine ◽

Support Vector ◽

Multi Class Classification ◽

Multiple Recursive Projection

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Regularized robust fuzzy least squares twin support vector machine for class imbalance learning

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9207724 ◽

2020 ◽

Author(s):

M. A. Ganaie ◽

M. Tanveer ◽

P. N. Suganthan

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Class Imbalance ◽

Twin Support Vector Machine ◽

Support Vector ◽

Imbalance Learning ◽

Class Imbalance Learning

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Application of multi-class classification algorithm based on twin support vector machine in intrusion detection

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.00426 ◽

2013 ◽

Vol 33 (2) ◽

pp. 426-429

Author(s):

Panpan NIE ◽

Li ZANG ◽

Leilei LIU

Keyword(s):

Support Vector Machine ◽

Intrusion Detection ◽

Classification Algorithm ◽

Twin Support Vector Machine ◽

Support Vector ◽

Multi Class Classification

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Multiple Instance Classification Based on Least Squares Twin Support Vector Machine

Journal of Convergence Information Technology ◽

10.4156/jcit.vol7.issue6.9 ◽

2012 ◽

Vol 7 (6) ◽

pp. 72-77 ◽

Author(s):

Liyuan Liu ◽

Yaohong ZhaoPing Zhong

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Twin Support Vector Machine ◽

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Multiple birth least squares support vector machine for multi-class classification

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-016-0554-7 ◽

2016 ◽

Vol 8 (6) ◽

pp. 1731-1742 ◽

Author(s):

Su-Gen Chen ◽

Xiao-Jun Wu

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Support Vector ◽

Multiple Birth ◽

Multi Class Classification

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