Zhen Wang

According to our database1, Zhen Wang authored at least 35 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Ramp-based twin support vector clustering.
Neural Comput. Appl., 2020

<i>ν</i>-projection twin support vector machine for pattern classification.
Neurocomputing, 2020

NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm.
Appl. Soft Comput., 2020

2019
Joint sample and feature selection via sparse primal and dual LSSVM.
Knowl. Based Syst., 2019

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm.
Knowl. Based Syst., 2019

Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding.
Knowl. Based Syst., 2019

Robust bilateral Lp-norm two-dimensional linear discriminant analysis.
Inf. Sci., 2019

Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization.
Neurocomputing, 2019

A general model for plane-based clustering with loss function.
CoRR, 2019

Robust k-subspace discriminant clustering.
Appl. Soft Comput., 2019

2018
Sparse <i>L<sub>q</sub></i>-norm least squares support vector machine with feature selection.
Pattern Recognit., 2018

Minimum deviation distribution machine for large scale regression.
Knowl. Based Syst., 2018

Insensitive stochastic gradient twin support vector machines for large scale problems.
Inf. Sci., 2018

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm.
CoRR, 2018

Reversible Discriminant Analysis.
IEEE Access, 2018

2017
k-Proximal plane clustering.
Int. J. Mach. Learn. Cybern., 2017

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems.
CoRR, 2017

2016
MBLDA: A novel multiple between-class linear discriminant analysis.
Inf. Sci., 2016

Weighted Lagrange ε-twin support vector regression.
Neurocomputing, 2016

2015
Twin Support Vector Machine for Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2015

Weighted linear loss twin support vector machine for large-scale classification.
Knowl. Based Syst., 2015

Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
An efficient weighted Lagrangian twin support vector machine for imbalanced data classification.
Pattern Recognit., 2014

Proximal parametric-margin support vector classifier and its applications.
Neural Comput. Appl., 2014

A novel feature selection method for twin support vector machine.
Knowl. Based Syst., 2014

A proximal classifier with positive and negative local regions.
Neurocomputing, 2014

Weighted Linear Loss Support Vector Machine for Large Scale Problems.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Proximal Classifier via Absolute Value Inequalities.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Improved Generalized Eigenvalue Proximal Support Vector Machine.
IEEE Signal Process. Lett., 2013

A GA-based model selection for smooth twin parametric-margin support vector machine.
Pattern Recognit., 2013

A regularization for the projection twin support vector machine.
Knowl. Based Syst., 2013

Least squares twin parametric-margin support vector machine for classification.
Appl. Intell., 2013

Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Proximal Plane Clustering via Eigenvalues.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

2012
Probabilistic outputs for twin support vector machines.
Knowl. Based Syst., 2012


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