| 学科竞赛融入应用统计学专业理论教学的“五课一能”课程体系构建 | 盛宝怀[1];刘焕香[1] | 《高教学刊》 | 9 | |
| Convergence rate of SVM for kernel-based robust regression | Wang, Shuhua[1];Chen, Zhenlong | INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 9 | |
| The convergence rate of semi-supervised regression with quadratic loss | Sheng, Baohuai[1];Zhu, Hancan[ | APPLIED MATHEMATICS AND COMPUTATION | 8 | |
| The Learning Rates of Regularized Regression Based on Reproducing Kernel Banach Spaces | Sheng, Baohuai[1];Ye, Peixin[2 | ABSTRACT AND APPLIED ANALYSIS | 8 | |
| On the K-functional in learning theory | Sheng, Bao-Huai[1];Wang, Jian- | ANALYSIS AND APPLICATIONS | 8 | |
| Convergence rate of semi-supervised gradient learning algorithms | Sheng, Baohuai[1];Xiang, Daoho | INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 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 | 7 | |
| 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 | |
| 向量集值优化超有效解的对偶问题 | 盛宝怀[1];周颂平[2];刘三阳[3] | 《数学物理学报：A辑》 | 6 | |
| 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 | |
| 拟不变凸集值优化的Kuhn-Tucker条件与Wolfe对偶 | 盛宝怀[1];刘三阳[2];张石生（推 | 《应用数学和力学》 | 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 | |
| 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 | |
| 一类球面带形平移网络算子的逼近 | 周观珍[1];盛宝怀[2] | 《数学物理学报：A辑》 | 4 | |
| 球面带形平移网络逼近的Jackson定理 | 盛宝怀[1] | 《数学进展》 | 4 | |
| CONVERGENCE OF ONLINE PAIRWISE REGRESSION LEARNING WITH QUadRATIC LOSS | Wang, Shuhua[1,2];Chen, Zhenlo | COMMUNICATIONS ON PURE AND APPLIED ANALYSIS | 4 | |
| (h，■)-广义切导数与最优性条件 | 盛宝怀[1];李银兴[2];刘三阳[3] | 《应用数学学报》 | 3 | |
| Orlicz范数下的Hardy-Hilbert不等式 | 盛宝怀[1];周林林[1];李宏涛[2] | 《数学研究与评论：英文版》 | 3 | |
| Performance analysis of the LapRSSLG algorithm in learning theory | Sheng, Baohuai[1];Zhang, Haizh | ANALYSIS AND APPLICATIONS | 3 | |
| 一个新的Hilbert型不等式 | 高燕[1];盛宝怀[1] | 《绍兴文理学院学报：自然科学版》 | 2 | |
| 关于Hardy-Hilbert不等式的一种推广 | 张焕萍[1];盛宝怀[1] | 《绍兴文理学院学报》 | 2 | |
| 某些Mercer核矩阵的权范数 | 盛宝怀[1] | 《数学物理学报：A辑》 | 2 | |
| 基于拟凸损失的核正则化成对学习算法的收敛速度 | 王淑华[1,2];王英杰[3];陈振龙[1 | 《系统科学与数学》 | 2 | |
| 在线分类算法收敛性分析 | 田明党[1];盛宝怀[2] | 《绍兴文理学院学报》 | 1 | |
| 基于扰动结点的Lagrange插值算子逼近的Steckin-Marchaud型不等式 | 盛宝怀[1] | 《数学物理学报：A辑》 | 1 | |
| 球型平移网络逼近周期函数 | 盛宝怀[1] | 《数学学报：中文版》 | 1 | |
| 若干周期再生核空间的覆盖数 | 盛宝怀[1] | 《数学物理学报：A辑》 | 1 | |
| 构造球面逼近算子的一种方法 | 盛宝怀[1];周观珍[2] | 《系统科学与数学》 | 1 | |
