Kuaini Wang

发表

Robust Support Vector Regression with Generalized Loss Function and Applications

Ping Zhong, Wenxin Zhu, Kuaini Wang, 2015, Neural Processing Letters.

Robust regularized extreme learning machine for regression with non-convex loss function via DC program

Jinde Cao, Ping Zhong, Huimin Pei, 2020, J. Frankl. Inst..

Pinball loss based extreme learning machines

Kuaini Wang, Xiaoshuai Ding, 2019 .

Convergence of Gradient Descent Algorithm with Penalty Term For Recurrent Neural Networks

Kuaini Wang, Xiaoshuai Ding, 2014, MUE 2014.

Robust semi-supervised extreme learning machine

Ping Zhong, Huimin Pei, Qiang Lin, 2018, Knowl. Based Syst..

Robust Proximal Support Vector Regression Based on Maximum Correntropy Criterion

Ping Zhong, Huimin Pei, Kuaini Wang, 2019, Sci. Program..

A linear support higher order tensor domain description for one-class classification

Yanyan Chen, Ping Zhong, Kuaini Wang, 2018, J. Intell. Fuzzy Syst..

One-Class Support Tensor Machine

Yanyan Chen, Ping Zhong, Kuaini Wang, 2016, Knowl. Based Syst..

IMPROVING SUPPORT VECTOR CLASSIFICATION BY LEARNING GROUP INFORMATION HIDDEN IN THE DATA

Ping Zhong, Wenxin Zhu, Kuaini Wang, 2014 .

Least Squares Fuzzy One-class Support Vector Machine for Imbalanced Data

Ping Zhong, Jingjing Zhang, Wenxin Zhu, 2015 .

Privacy-Preserving One-Class Support Vector Machine with Horizontally Partitioned Data

Ping Zhong, Huimin Pei, Qiang Lin, 2016 .

Application of Least Squares Support Vector Regression Based on Time Series in Prediction of Gas

Ping Zhong, Yaohong Zhao, Kuaini Wang, 2011 .

Robust non-convex least squares loss function for regression with outliers

Ping Zhong, Kuaini Wang, P. Zhong, 2014, Knowl. Based Syst..

Privacy-Preserving One-Class Support Vector Machine with Vertically Partitioned Data

Ping Zhong, Huimin Pei, Qiang Lin, 2016, MUE 2016.

Semi-supervised matrixized least squares support vector machine

Ping Zhong, Huimin Pei, Kuaini Wang, 2017, Appl. Soft Comput..

Robust extreme learning machine in the presence of outliers by iterative reweighted algorithm

Jinde Cao, Huimin Pei, Kuaini Wang, 2020, Appl. Math. Comput..

Calorific Value Prediction of Coal Based on Least Squares Support Vector Regression

Ruiting Zhang, Hui Ning, Kuaini Wang, 2015, ITITS.

Least Absolute Deviation Support Vector Regression

Ping Zhong, Kuaini Wang, P. Zhong, 2014 .

Training Robust Support Vector Regression via D. C. Program

Ping Zhong, Yaohong Zhao, Kuaini Wang, 2010 .