Nai-Yang Deng

发表

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.

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..

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).

Laplacian unit-hyperplane learning from positive and unlabeled examples

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

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..

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions

Nai-Yang Deng, Yingjie Tian, Chunhua Zhang, 2012 .

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

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

Robust bilateral Lp-norm two-dimensional linear discriminant analysis

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

Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representation

Xiang-Sun Zhang, Yong Wang, Nai-Yang Deng, 2011, BMC Bioinformatics.

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..

Computational probing protein-protein interactions targeting small molecules

Yong Wang, Nai-Yang Deng, Yong-Cui Wang, 2015, Bioinform..

Joint sample and feature selection via sparse primal and dual LSSVM

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

New Unsupervised Support Vector Machines

Kun Zhao, Nai-Yang Deng, Yingjie Tian, 2009 .

Proximal Plane Clustering via Eigenvalues

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

Sequence-based protein-protein interaction prediction via support vector machine

Nai-Yang Deng, Zhixia Yang, Jiguang Wang, 2010, J. Syst. Sci. Complex..

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..

Kernel-based data fusion improves the drug-protein interaction prediction

Chunhua Zhang, Yong Wang, Nai-Yang Deng, 2011, Comput. Biol. Chem..

Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context

Yong Wang, Nai-Yang Deng, Zhixia Yang, 2011, BMC Systems Biology.

Combined outputs framework for twin support vector machines

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

Twin Support Vector Machine for Clustering

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

New p-norm Support Vector Machine with Parametric Margin

Ling Zhen, Nai-Yang Deng, Zhiqiang Zhang, 2013 .

Weighted Lagrange ε-twin support vector regression

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

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.

Least squares recursive projection twin support vector machine for classification

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

SVM-based Method for Predicting Enzyme Function in a Hierarchical Context

Nai-Yang Deng, Zhi-Xia Yang, Yong-Cui Wang, 2010 .

A proximal classifier with positive and negative local regions

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

A new support vector machine for the classification of positive and unlabeled examples

Ling Zhen, Nai-Yang Deng, Chunhua Zhang, 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..

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

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

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

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

Network predicting drug's anatomical therapeutic chemical code

Yong Wang, Nai-Yang Deng, Yong-Cui Wang, 2013, Bioinform..

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.

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.

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..

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

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

Prediction of Protein-Protein Interaction Based Only on Coding Sequences

Nai-Yang Deng, Zhi-Xia Yang, Jiguang Wang, 2009 .

Constructing support vector machine ensemble with segmentation for imbalanced datasets

Yi Li, Ling Jing, Qian Li, 2012, Neural Computing and Applications.

Lysine acetylation sites prediction using an ensemble of support vector machine classifiers.

Jun Ding, Yan Xu, Nai-Yang Deng, 2010, Journal of theoretical biology.

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems pdf

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

Computationally Probing Drug-Protein Interactions Via Support Vector Machine

Yong Wang, Nai-Yang Deng, Zhi-Xia Yang, 2010 .

Distinguishing enzymes from non-enzymes via support vector machine

Nai-Yang Deng, N. Deng, Yong-Cui Wang, 2008 .

Prediction of enzyme subfamily class via pseudo amino acid composition by incorporating the conjoint triad feature.

Nai-Yang Deng, Zhi-Xia Yang, Yong-Cui Wang, 2010, Protein and peptide letters.

Multiple Instance Twin Support Vector Machines

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

Nai-Yang Deng, N. Deng, Chunhua Zhang, 2010 .

Prediction of protein methylation sites using conditional random field.

Yan Xu, Nai-Yang Deng, Yan Xu, 2012, Protein and peptide letters.

Multi-instance Support Vector Machine Based on Convex Combination∗

Nai-Yang Deng, Zhixia Yang, 2009 .

Accurate Prediction of Translation Initiation Sites by Universum SVM

Nai-Yang Deng, N. Deng, Xiaojian Shao, 2008 .

Robust L1-norm non-parallel proximal support vector machine

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

The new interpretation of support vector machines on statistical learning theory

Chunhua Zhang, Nai-Yang Deng, Yingjie Tian, 2010 .