| On the K-functional in learning theory | Sheng, Bao-Huai[1];Wang, Jian- | ANALYSIS AND APPLICATIONS | 10 | |
| Convergence rate of SVM for kernel-based robust regression | Wang, Shuhua[1];Chen, Zhenlong | INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 9 | |
| The Learning Rates of Regularized Regression Based on Reproducing Kernel Banach Spaces | Sheng, Baohuai[1];Ye, Peixin[2 | ABSTRACT AND APPLIED ANALYSIS | 8 | |
| Convergence rate of semi-supervised gradient learning algorithms | Sheng, Baohuai[1];Xiang, Daoho | INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 8 | |
| The convergence rate of semi-supervised regression with quadratic loss | Sheng, Baohuai[1];Zhu, Hancan[ | APPLIED MATHEMATICS AND COMPUTATION | 8 | |
| LEARNING RATES FOR THE KERNEL REGULARIZED REGRESSION WITH A DIFFERENTIABLE STRONGLY CONVEX LOSS | Sheng, Baohuai[1];Liu, Huanxia | COMMUNICATIONS ON PURE AND APPLIED ANALYSIS | 8 | |
| The performance of semi-supervised Laplacian regularized regression with the least square loss | Sheng, Baohuai[1];Xiang, Daoho | INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 7 | |
| The improved learning rate for regularized regression with RKBSs | Liu, Huanxiang[1];Sheng, Baohu | INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 6 | |
| Error analysis of the kernel regularized regression based on refined convex losses and RKBSs | Sheng, Baohuai[1];Zuo, Lan[1] | INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 6 | |
| THE COVERING NUMBER FOR SOME MERCER KERNEL HILBERT SPACES ON THE UNIT SPHERE | Sheng Baohuai[1];Wang Jianli[1 | TAIWANESE JOURNAL OF MATHEMATICS | 5 | |
| CONVERGENCE OF ONLINE PAIRWISE REGRESSION LEARNING WITH QUadRATIC LOSS | Wang, Shuhua[1,2];Chen, Zhenlo | COMMUNICATIONS ON PURE AND APPLIED ANALYSIS | 4 | |
| Error Analysis on Hermite Learning with Gradient Data | Sheng, Baohuai[1];Wang, Jianli | CHINESE ANNALS OF MATHEMATICS SERIES B | 4 | |
| The Convergence Rate for a K-Functional in Learning Theory | Sheng, Bao-Huai[1];Xiang, Dao- | JOURNAL OF INEQUALITIES AND APPLICATIONS | 4 | |
| Performance analysis of the LapRSSLG algorithm in learning theory | Sheng, Baohuai[1];Zhang, Haizh | ANALYSIS AND APPLICATIONS | 3 | |
| Reproducing property of bounded linear operators and kernel regularized least square regressions | Sheng, Baohuai[1,2] | INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 2 | |
| CONVERGENCE ANALYSIS FOR KERNEL-REGULARIZED ONLINE REGRESSION ASSOCIATED WITH AN RRKHS | Pan, Xiaoling[1];Liu, Lin[1];S | COMMUNICATIONS ON PURE AND APPLIED ANALYSIS | 1 | |
| Learning Rates of Kernel-Based Robust Classification | Wang, Shuhua[1];Sheng, Baohuai | ACTA MATHEMATICA SCIENTIA | 0 | |
| Theory Analysis for the Convergence of Kernel-Regularized Online Binary Classification Learning Associated with RKBSs | Liu, Lin[1];Pan, Xiaoling[1];S | JOURNAL OF MATHEMATICS | 0 | |
