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Di-Rong Chen
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Research Interest
Error Analysis
Sobolev Spaces
Square Regression
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Expertise:
Machine Learning (3)
Traditional method / Burgers equation (2)
Nonlinear problem / Average complexity (2)
Finite element method / Error estimation (2)
Surface interpolation / Geometric modeling (2)
Neural Networks / BYY learning (1)
Conference:
Journal of Approximation Theory (4)
IJWMIP (3)
Journal of Machine Learning Research (2)
Adv. Comput. Math. (2)
IEEE Trans. Neural Netw. Learning Syst. (1)
IEEE Signal Process. Lett. (1)
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Publications
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ALL (22)
RECENT
2013
2012
2011
2010
2009
2008
2007
2006
2004
2003
2002
2000
22
Least Square Regularized Regression in Sum Space
Yong-Li Xu
,
Di-Rong Chen
,
Han-Xiong Li
,
Lu Liu
IEEE Trans. Neural Netw. Learning Syst.
-
2013
PDF
BIBTEX
21
The Exact Support Recovery of Sparse Signals With Noise via Orthogonal Matching Pursuit
Rui Wu
,
Wei Huang
,
Di-Rong Chen
IEEE Signal Process. Lett.
-
2013
PDF
BIBTEX
20
Support vector machines regression with I-regularizer
Hongzhi Tong
,
Di-Rong Chen
,
Fenghong Yang
Journal of Approximation Theory
-
2012
PDF
BIBTEX
19
On the performance of regularized regression learning in Hilbert space
Di-Rong Chen
,
Han Li
Neurocomputing
-
2012
PDF
BIBTEX
18
The coefficient Regularized Regression with Random Projection
Di-Rong Chen
,
Han Li
IJWMIP
-
2012
PDF
BIBTEX
17
Wavelet shrinkage estimators of Hilbert transform
Di-Rong Chen
,
Yao Zhao
Journal of Approximation Theory
-
2011
PDF
BIBTEX
16
Projected gradient iteration for nonlinear operator equation
Wei Huang
,
Di-Rong Chen
J. Computational Applied Mathematics
-
2011
PDF
BIBTEX
15
Convergence of irregular Hermite subdivision schemes
Yao Zhao
,
Di-Rong Chen
Computer Aided Geometric Design
-
2010
PDF
BIBTEX
14
Least Square Regression with -Coefficient Regularization
Hongzhi Tong
,
Di-Rong Chen
,
Fenghong Yang
Neural Computation
-
2010
PDF
BIBTEX
13
Analysis of Support Vector Machines Regression
Hongzhi Tong
,
Di-Rong Chen
,
Lizhong Peng
Foundations of Computational Mathematics
-
2009
CitedBy 11
PDF
BIBTEX
12
Learning Rates of Regularized Regression for Functional Data
Yong-Li Xu
,
Di-Rong Chen
IJWMIP
-
2009
PDF
BIBTEX
11
Partially-Linear Least-Squares Regularized Regression for System Identification
Yong-Li Xu
,
Di-Rong Chen
IEEE Trans. Automat. Contr.
-
2009
PDF
BIBTEX
10
Wavelet Denoising for Differential Operator
Hongtao Meng
,
Di-Rong Chen
,
Yao Zhao
CSC
-
2008
PDF
BIBTEX
9
Learning rates for regularized classifiers using multivariate polynomial kernels
Hongzhi Tong
,
Di-Rong Chen
,
Lizhong Peng
J. Complexity
-
2008
CitedBy 17
PDF
BIBTEX
8
A Construction of convergent Cascade Algorithms in Sobolev Spaces
Di-Rong Chen
IJWMIP
-
2007
PDF
BIBTEX
7
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
Di-Rong Chen
,
Tao Sun
Journal of Machine Learning Research
-
2006
CitedBy 4
PDF
BIBTEX
6
The consistency of multicategory support vector machines
Di-Rong Chen
,
Dao-Hong Xiang
Adv. Comput. Math.
-
2006
CitedBy 14
PDF
BIBTEX
5
Support Vector Machine Soft Margin Classifiers: Error Analysis
Di-Rong Chen
,
Qiang Wu
,
Yiming Ying
,
Ding-Xuan Zhou
Journal of Machine Learning Research
-
2004
CitedBy 127
PDF
BIBTEX
4
Shift-invariant spaces of tempered distributions and Lp-functions
Di-Rong Chen
Journal of Approximation Theory
-
2003
PDF
BIBTEX
3
Construction of Smooth Refinable Function Vectors by Cascade Algorithms
Di-Rong Chen
SIAM J. Numerical Analysis
-
2002
CitedBy 13
PDF
BIBTEX
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