Zhi-Min Yang

According to our database¹, Zhi-Min Yang authored at least 17 papers between 2012 and 2020.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2020

Fault Location Method for Optical Transmission Network Based on Low Density Check Matrix.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Communication Technology, 2020

2019

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Robust k-subspace discriminant clustering.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2019

A High Reliable Communication Solution for Transmission Line Protection.

[BibT_eX]

[DOI]

Zhi-Min Yang

Dan-Ke Hong

Jun-Quan Yang

Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

2017

k-Proximal plane clustering.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2017

2016

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

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2016

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

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2016

A novel parametric-insensitive nonparallel support vector machine for regression.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Local k-proximal plane clustering.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2015

Combined outputs framework for twin support vector machines.

[BibT_eX]

[DOI]

Appl. Intell., 2015

A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

2014

Weighted Linear Loss Support Vector Machine for Large Scale Problems.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

2013

An ε-twin support vector machine for regression.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

Feature Selection Based On Linear Twin Support Vector Machines.

[BibT_eX]

[DOI]

Zhi-Min Yang

Jun-Yun He

Yuan-Hai Shao

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

2012

Least squares recursive projection twin support vector machine for classification.

[BibT_eX]

[DOI]

Yuan-Hai Shao

Nai-Yang Deng

Zhi-Min Yang

Pattern Recognit., 2012

Probabilistic outputs for twin support vector machines.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

Zhi-Min Yang

Timeline

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