Baohuai Sheng

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 9

Top Topics

Convergence Rate

Regularized Regression

Top Venues

Int. J. Wavelets Multiresolution Inf. Process.

Math. Found. Comput.

Int. J. Mach. Learn. Cybern.

Publications

Xiaojun Sun, Baohuai Sheng, Lin Liu, Xiaoling Pan
On the density of translation networks defined on the unit ball. Math. Found. Comput. 7 (3) (2024)
Shuhua Wang, Baohuai Sheng
Error analysis of kernel regularized pairwise learning with a strongly convex loss. Math. Found. Comput. 6 (4) (2023)
Mingdang Tian, Baohuai Sheng, Shuhua Wang
Some Upper Bounds for RKHS Approximation by Bessel Functions. Axioms 11 (5) (2022)
Baohuai Sheng, Dapao Zhou, Shuhua Wang
The kernel regularized learning algorithm for solving Laplace equation with Dirichlet boundary. Int. J. Wavelets Multiresolution Inf. Process. 20 (6) (2022)
Baohuai Sheng, Lan Zuo
Error analysis of the kernel regularized regression based on refined convex losses and RKBSs. Int. J. Wavelets Multiresolution Inf. Process. 19 (5) (2021)
Shuhua Wang, Zhenlong Chen, Baohuai Sheng
Convergence rate of SVM for kernel-based robust regression. Int. J. Wavelets Multiresolution Inf. Process. 17 (1) (2019)
Baohuai Sheng, Hancan Zhu
The convergence rate of semi-supervised regression with quadratic loss. Appl. Math. Comput. 321 (2018)
Huanxiang Liu, Baohuai Sheng, Peixin Ye
The improved learning rate for regularized regression with RKBSs. Int. J. Mach. Learn. Cybern. 8 (4) (2017)
Baohuai Sheng, Daohong Xiang
The performance of semi-supervised Laplacian regularized regression with the least square loss. Int. J. Wavelets Multiresolution Inf. Process. 15 (2) (2017)
Baohuai Sheng, Daohong Xiang, Peixin Ye
Convergence rate of semi-supervised gradient learning algorithms. Int. J. Wavelets Multiresolution Inf. Process. 13 (4) (2015)
Baohuai Sheng, Liqin Duan, Pei-Xin Ye
Strong Convex Loss Can Increase the Learning Rates of Online Learning. J. Comput. 9 (7) (2014)
Pei-Xin Ye, Baohuai Sheng, Xiuhua Yuan
Optimal order of truncation and aliasing errors for multi-dimensional Whittaker-Shannon sampling expansion. Int. J. Wirel. Mob. Comput. 5 (4) (2012)
Baohuai Sheng, Pei-Xin Ye
Learning Rates of Support Vector Machine Classifiers with Data Dependent Hypothesis Spaces. J. Comput. 7 (1) (2012)
Baohuai Sheng, Pei-Xin Ye
Least Square Regression Learning with Data Dependent Hypothesis and Coefficient Regularzation. J. Comput. 6 (4) (2011)
Fengwei Li, Qingfang Ye, Baohuai Sheng
On Integrity of Harary Graphs. COCOA (2009)
Baohuai Sheng, Jianli Wang, Ping Li
The covering number for some Mercer kernel Hilbert spaces. J. Complex. 24 (2) (2008)
Baohuai Sheng
Spaces. J. Syst. Sci. Complex. 20 (4) (2007)