Yuan-Hai Shao

发表

Reversible Discriminant Analysis

Lan Bai, Zhen Wang, Yuan-Hai Shao, 2018, IEEE Access.

Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications pdf

Lan Bai, Yuan-Hai Shao, Chun-Na Li, 2020, Applied Intelligence.

Alternating Direction Method of Multipliers for L1- and L2-norm Best Fitting Hyperplane Classifier

Chen Wang, Yuan-Hai Shao, Chun-Na Li, 2017, ICCS.

Improved Generalized Eigenvalue Proximal Support Vector Machine

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2013, IEEE Signal Processing Letters.

Least squares twin parametric-margin support vector machine for classification

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2013, Applied Intelligence.

Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification

Yuan-Hai Shao, Chun-Na Li, Yan-Ru Guo, 2021, Eng. Appl. Artif. Intell..

Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

Yuan-Hai Shao, Chun-Na Li, Wotao Yin, 2020, IEEE Transactions on Neural Networks and Learning Systems.

A proximal classifier with consistency

Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen, 2013, Knowl. Based Syst..

2DRLPP: Robust two-dimensional locality preserving projection with regularization

Yuan-Hai Shao, Chun-Na Li, Ju Zhang, 2019, Knowl. Based Syst..

Robust L1-norm two-dimensional linear discriminant analysis

Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng, 2015, Neural Networks.

Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Generalized elastic net Lp-norm nonparallel support vector machine

Yuan-Hai Shao, Chun-Na Li, Yan-Ru Guo, 2020, Eng. Appl. Artif. Intell..

Laplacian unit-hyperplane learning from positive and unlabeled examples

Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen, 2015, Inf. Sci..

Robust recursive absolute value inequalities discriminant analysis with sparseness

Yuan-Hai Shao, Chun-Na Li, Wei-Jie Chen, 2017, Neural Networks.

Single and Union Non-Parallel Support Vector Machine Frameworks pdf

Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng, 2019, SSRN Electronic Journal.

Principal Component Analysis Based on T𝓁1-norm Maximization pdf

Yuan-Hai Shao, Chun-Na Li, Li-Ming Liu, 2020, ArXiv.

Improvements on Twin Support Vector Machines

Yuan-Hai Shao, Chunhua Zhang, Nai-Yang Deng, 2011, IEEE Transactions on Neural Networks.

Proximal Classifier via Absolute Value Inequalities

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems

Lan Bai, Yuan-Hai Shao, Chun-Na Li, 2017, Inf. Sci..

MLTSVM: A novel twin support vector machine to multi-label learning

Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng, 2016, Pattern Recognit..

Information Technology and Quantitative Management , ITQM 2013 Feature Selection Based On Linear Twin Support Vector Machines

Yuan-Hai Shao, Zhi-Min Yang, Jun-Yun He, 2013 .

Local k-proximal plane clustering

Yuan-Hai Shao, Chun-Na Li, Yan-Ru Guo, 2014, Neural Computing and Applications.

Robust bilateral Lp-norm two-dimensional linear discriminant analysis

Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng, 2019, Inf. Sci..

Robust k-subspace discriminant clustering

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2019, Appl. Soft Comput..

Multiple birth support vector machine for multi-class classification

Yuan-Hai Shao, Xiang-Sun Zhang, Zhixia Yang, 2012, Neural Computing and Applications.

The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense

Yuan-Hai Shao, Nai-Yang Deng, 2015, J. Optim. Theory Appl..

NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2020, Appl. Soft Comput..

Joint sample and feature selection via sparse primal and dual LSSVM

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2019, Knowl. Based Syst..

Wavelet Lp-Norm Support Vector Regression with Feature Selection

Yuan-Hai Shao, Chun-Na Li, Ya-Fen Ye, 2015, J. Adv. Comput. Intell. Intell. Informatics.

Ramp-based twin support vector clustering

Xu Chen, Zhen Wang, Yuan-Hai Shao, 2018, Neural Computing and Applications.

Proximal Plane Clustering via Eigenvalues

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2013, ITQM.

Minimum deviation distribution machine for large scale regression

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2018, Knowl. Based Syst..

A regularization for the projection twin support vector machine

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2013, Knowl. Based Syst..

Generalized two-dimensional linear discriminant analysis with regularization pdf

Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng, 2018, Neural Networks.

Weighted Linear Loss Support Vector Machine for Large Scale Problems

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2014, ITQM.

A novel feature selection method for twin support vector machine

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2014, Knowl. Based Syst..

Nonparallel hyperplane support vector machine for binary classification problems

Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen, 2014, Inf. Sci..

Capped norm linear discriminant analysis and its applications pdf

Yuan-Hai Shao, Chun-Na Li, Da Zhao, 2020, ArXiv.

Improving Lap-TSVM with Successive Overrelaxation and Differential Evolution

Yuan-Hai Shao, Wei-Jie Chen, Ya-Fen Ye, 2013, ITQM.

A general model for plane-based clustering with loss function pdf

Lan Bai, Yuan-Hai Shao, Chun-Na Li, 2019, ArXiv.

Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm

Yuan-Hai Shao, Chun-Na Li, Wei-Jie Chen, 2018, Neurocomputing.

Ν-projection Twin Support Vector Machine for Pattern Classification

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2020, Neurocomputing.

Laplacian least squares twin support vector machine for semi-supervised classification

Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng, 2014, Neurocomputing.

A GA-based model selection for smooth twin parametric-margin support vector machine

Yuan-Hai Shao, Zhen Wang, Tie-Ru Wu, 2013, Pattern Recognit..

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

Yuan-Hai Shao, Chun-Na Li, Zhi-Min Yang, 2014, International Journal of Machine Learning and Cybernetics.

Combined outputs framework for twin support vector machines

Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang, 2015, Applied Intelligence.

Financial Conditions Index Construction Through Weighted Lp-Norm Support Vector Regression

Yuan-Hai Shao, Chun-Na Li, Ya-Fen Ye, 2015, J. Adv. Comput. Intell. Intell. Informatics.

Twin Support Vector Machine for Clustering

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2015, IEEE Transactions on Neural Networks and Learning Systems.

k-Proximal plane clustering

Yuan-Hai Shao, Yan-Ru Guo, Zhen Wang, 2017, Int. J. Mach. Learn. Cybern..

Multiple Flat Projections for Cross-manifold Clustering pdf

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2020, ArXiv.

Weighted Lagrange ε-twin support vector regression

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2016, Neurocomputing.

Smooth pinball loss nonparallel support vector machine for robust classification

Yuan-Hai Shao, Chun-Na Li, Wei-Jie Chen, 2020, Appl. Soft Comput..

Proximal parametric-margin support vector classifier and its applications

Yuan-Hai Shao, Zhen Wang, Tie-Ru Wu, 2012, Neural Computing and Applications.

One norm linear programming support vector regression

Izhar Ahmad, Yuan-Hai Shao, Muhammad Tanveer, 2016, Neurocomputing.

Mixed-norm linear support vector machine

Yuan-Hai Shao, Chunhua Zhang, Naiyang Deng, 2012, Neural Computing and Applications.

Weighted linear loss twin support vector machine for large-scale classification

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2015, Knowl. Based Syst..

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2018, ArXiv.

A novel parametric-insensitive nonparallel support vector machine for regression

Yuan-Hai Shao, Ya-Fen Ye, Zhi-Min Yang, 2016, Neurocomputing.

A Learning Framework of Nonparallel Hyperplanes Classifier

Yuan-Hai Shao, Yao-Lin Jiang, Zhi-Xia Yang, 2015, TheScientificWorldJournal.

Ensemble learning for generalised eigenvalues proximal support vector machines

Yuan-Hai Shao, Yibo Jiang, Wei-Jie Chen, 2013, Int. J. Comput. Appl. Technol..

Manifold proximal support vector machine for semi-supervised classification

Yuan-Hai Shao, Wei-Jie Chen, Deng-Ke Xu, 2013, Applied Intelligence.

Least squares recursive projection twin support vector machine for classification

Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang, 2012, Pattern Recognit..

A proximal classifier with positive and negative local regions

Yuan-Hai Shao, Haibin Zhang, Zhen Wang, 2014, Neurocomputing.

Information Technology and Quantitative Management , ITQM 2013 Exploring determinants of inflation in China based on L 1-- twin support vector regression

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2013 .

Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization

Yuan-Hai Shao, Chun-Na Li, Chang-Hui Wang, 2018, IEEE Access.

Fast Twin Parametric-Insensitive SVR Using Successive Over-Relaxation

Yuan-Hai Shao, Zhijun Zhu, Wei-Jie Chen, 2013 .

An efficient support vector machine approach for identifying protein S-nitrosylation sites.

Yuan-Hai Shao, Ling Jing, Nai-Yang Deng, 2011, Protein and peptide letters.

Probabilistic outputs for twin support vector machines

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2012, Knowl. Based Syst..

General Plane-Based Clustering With Distribution Loss

Lan Bai, Yuan-Hai Shao, Chun-Na Li, 2020, IEEE Transactions on Neural Networks and Learning Systems.

A Trace Lasso Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification

Yuan-Hai Shao, Ju Zhang, Wei-Jie Chen, 2019, IEEE Access.

Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification

Yuan-Hai Shao, Jun Zhang, Ling-Wei Huang, 2019, IEEE Access.

A coordinate descent margin based-twin support vector machine for classification

Yuan-Hai Shao, Nai-Yang Deng, N. Deng, 2012, Neural Networks.

Robust and Sparse LP-Norm Support Vector Regression

Yuan-Hai Shao, Chun-Na Li, Ya-Fen Ye, 2017, J. Adv. Comput. Intell. Intell. Informatics.

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

Yuan-Hai Shao, Chun-Na Li, Zhi-Min Yang, 2015, International Journal of Machine Learning and Cybernetics.

Robust Lp-norm least squares support vector regression with feature selection

Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng, 2017, Appl. Math. Comput..

Laplacian smooth twin support vector machine for semi-supervised classification

Yuan-Hai Shao, Wei-Jie Chen, Ning Hong, 2013, International Journal of Machine Learning and Cybernetics.

Principal Component Analysis Based on T$\ell_1$-norm Maximization

Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng, 2020, 2005.12263.

Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding

Lan Bai, Yuan-Hai Shao, Chun-Na Li, 2019, Knowl. Based Syst..

A novel margin-based twin support vector machine with unity norm hyperplanes

Yuan-Hai Shao, Nai-Yang Deng, N. Deng, 2012, Neural Computing and Applications.

Feature selection for high‐dimensional regression via sparse LSSVR based on Lp ‐norm

Yuan-Hai Shao, Chun-Na Li, Da Zhao, 2020, Int. J. Intell. Syst..

An ε-twin support vector machine for regression

Yuan-Hai Shao, Ling Jing, Chunhua Zhang, 2012, Neural Computing and Applications.

Extensive semi-quantitative regression

Yuan-Hai Shao, Nai-Yang Deng, Ya-Fen Ye, 2016, Neurocomputing.

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

Yuan-Hai Shao, Wei-Jie Chen, Zhi-Min Yang, 2013, ITQM.

Sparse Lq-norm least squares support vector machine with feature selection

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2018, Pattern Recognit..

MBLDA: A novel multiple between-class linear discriminant analysis

Lan Bai, Yuan-Hai Shao, Chun-Na Li, 2016, Inf. Sci..

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

Yuan-Hai Shao, Ya-Fen Ye, Zhi-Min Yang, 2015, ITQM.

An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2014, Pattern Recognit..

Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2019, Neurocomputing.

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems pdf

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2017, ArXiv.

MPMSVC: Multiple Parametric-Margin Support Vector Clustering

Yuan-Hai Shao, Yi-Bo Jiang, Wei-Jie Chen, 2021, IEEE Access.

Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints pdf

Yuan-Hai Shao, Zhen Wang, Shan-Shan Wang, 2021, IEEE Transactions on Fuzzy Systems.

Multiple Instance Twin Support Vector Machines

Yuan-Hai Shao, Nai-Yang Deng, Zhi-Xia Yang, 2010 .

Successive overrelaxation for twin parametric-margin support vector machines

Yuan-Hai Shao, Wei-Jie Chen, Haiyan Wang, 2013 .

Can the Exchange Rate Be Used to Predict the Shanghai Composite Index?

Yuan-Hai Shao, Ling-Wei Huang, Jun Zhang, 2020, IEEE Access.

Robust L1-norm non-parallel proximal support vector machine

Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng, 2016 .