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Baohuai Sheng

Observed names: Bao-Huai Sheng, 盛宝怀
ORCID: 0000-0002-2946-9174
Observed ORCID: 0000-0002-2946-9174
OpenAlex ID: A5085002510
Moduli of smoothness, K-functionals and Jackson-type inequalities associated with kernel function approximation in learning theory
2024 · Bao-Huai Sheng, Jian-Li Wang · Analysis and Applications · 15
Learning rates for the kernel regularized regression with a differentiable strongly convex loss
2020 · Baohuai Sheng, Huanxiang Liu, et al. · Communications on Pure &amp Applied Analysis · 10
The convergence rate of semi-supervised regression with quadratic loss
2017 · Baohuai Sheng, Hancan Zhu · Applied Mathematics and Computation · 10
Convergence rate of semi-supervised gradient learning algorithms
2015 · Baohuai Sheng, Daohong Xiang, et al. · International Journal of Wavelets Multiresolution and Information Processing · 10
Error analysis of the kernel regularized regression based on refined convex losses and RKBSs
2021 · Baohuai Sheng, Lan Zuo · International Journal of Wavelets Multiresolution and Information Processing · 8
The Convergence Rate for a K-Functional in Learning Theory
2010 · Bao-Huai Sheng, Dao-Hong Xiang · Journal of Inequalities and Applications · 8
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Error analysis of kernel regularized pairwise learning with a strongly convex loss
2022 · Shuhua Wang, Baohuai Sheng · Mathematical Foundations of Computing · 7
The Covering Number for Some Mercer Kernel Hilbert Spaces on the Unit Sphere
2011 · Baohuai Sheng, Jianli Wang, et al. · Taiwanese Journal of Mathematics · 7
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The Learning Rates of Regularized Regression Based on Reproducing Kernel Banach Spaces
2013 · Baohuai Sheng, Peixin Ye · Abstract and Applied Analysis · 6
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Convergence of online pairwise regression learning with quadratic loss
2020 · Shuhua Wang, Zhenlong Chen, et al. · Communications on Pure &amp Applied Analysis · 5
Performance analysis of the LapRSSLG algorithm in learning theory
2019 · Baohuai Sheng, Haizhang Zhang · Analysis and Applications · 5
An application of Bernstein-Durrmeyer operators
2007 · Baohuai Sheng, Chunping Zhang · Analysis in Theory and Applications · 5
Some Upper Bounds for RKHS Approximation by Bessel Functions
2022 · Mingdang Tian, Baohuai Sheng, et al. · Axioms · 4
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Error Analysis on Hérmite Learning with Gradient Data
2018 · Baohuai Sheng, Jianli Wang, et al. · Chinese Annals of Mathematics Series B · 4
Least Square Regression Learning with Data Dependent Hypothesis and Coefficient Regularzation
2011 · Baohuai Sheng, Pei-Xin Ye · Journal of Computers · 4
Reproducing property of bounded linear operators and kernel regularized least square regressions
2024 · Baohuai Sheng · International Journal of Wavelets Multiresolution and Information Processing · 3
The kernel regularized learning algorithm for solving Laplace equation with Dirichlet boundary
2022 · Baohuai Sheng, Dapao Zhou, et al. · International Journal of Wavelets Multiresolution and Information Processing · 3
On the density of translation networks defined on the unit ball
2023 · Xiaojun Sun, Baohuai Sheng, et al. · Mathematical Foundations of Computing · 2
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Strong Convex Loss Can Increase the Learning Rates of Online Learning
2014 · Baohuai Sheng, Liqin Duan, et al. · Journal of Computers · 2
The Learning Rate of lp -coefficient Regularized Shannon Sampling Algorithm
2014 · 盛宝怀 · 数学进展 · 2
Learning Rates of Support Vector Machine Classifiers with Data Dependent Hypothesis Spaces
2012 · Bao-Huai Sheng, Pei-Xin Ye · Journal of Computers · 2
Bound the learning rates with generalized gradients
2012 · Baohuai Sheng, Dao-Hong Xiang · WSEAS Transactions on Signal Processing archive · 2
Sensitivity Analysis in Vector Optimization under Benson Proper Efficiency
2002 · Baohuai Sheng · Journal of Mathematical Research and Exposition · 2
The optimality conditions of nonconvex Set-valued vector optimization
2002 · Baohuai Sheng, Sanyang Liu · Acta Mathematica Scientia · 2
Deterministic error analysis of kernel regularized regression for spherical scattered data
2024 · Wan Li, Yeli Niu, et al. · International Journal of Wavelets Multiresolution and Information Processing · 1
Works count: 45
Citation count: 132
H-index: 7
I10-index: 4
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