Peixin Ye

Axioms, May, 2024

2023

A multi-point collaborative DDoS defense mechanism for IIoT environment.

[BibT_eX]

[DOI]

Digit. Commun. Networks, April, 2023

Efficiency of Orthogonal Matching Pursuit for Group Sparse Recovery.

[BibT_eX]

[DOI]

Axioms, April, 2023

Optimality of the rescaled pure greedy learning algorithms.

[BibT_eX]

[DOI]

Wenhui Zhang

Shuo Xing

Int. J. Wavelets Multiresolution Inf. Process., March, 2023

Approximation Properties of the Blending-Type Bernstein-Durrmeyer Operators.

[BibT_eX]

[DOI]

Axioms, January, 2023

2022

Unified error estimate for weak biorthogonal Greedy algorithms.

[BibT_eX]

[DOI]

Bing Jiang

Wenhui Zhang

Int. J. Wavelets Multiresolution Inf. Process., 2022

Optimality of the Approximation and Learning by the Rescaled Pure Super Greedy Algorithms.

[BibT_eX]

[DOI]

Axioms, 2022

Almost Optimality of the Orthogonal Super Greedy Algorithm for μ-Coherent Dictionaries.

[BibT_eX]

[DOI]

Axioms, 2022

2021

Efficiency of the weak Rescaled Pure Greedy Algorithm.

[BibT_eX]

[DOI]

Bing Jiang

Int. J. Wavelets Multiresolution Inf. Process., 2021

2020

Randomized approximation numbers on Besov classes with mixed smoothness.

[BibT_eX]

[DOI]

Liqin Duan

Int. J. Wavelets Multiresolution Inf. Process., 2020

Error analysis of the moving least-squares regression learning algorithm with β-mixing and non-identical sampling.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2020

2019

Error analysis of the moving least-squares method with non-identical sampling.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2019

2018

Coefficient-based lq-regularized regression with indefinite kernels and unbounded sampling.

[BibT_eX]

[DOI]

Cheng Wang

J. Approx. Theory, 2018

Convergence Rate for l<sup>q</sup>-Coefficient Regularized Regression With Non-i.i.d. Sampling.

[BibT_eX]

[DOI]

Binlei Cai

IEEE Access, 2018

Error Analysis of Least-Squares l<sup>q</sup>-Regularized Regression Learning Algorithm With the Non-Identical and Dependent Samples.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

The improved learning rate for regularized regression with RKBSs.

[BibT_eX]

[DOI]

Huanxiang Liu

Int. J. Mach. Learn. Cybern., 2017

Almost optimality of orthogonal super greedy algorithms for incoherent dictionaries.

[BibT_eX]

[DOI]

Chunfang Shao

Int. J. Wavelets Multiresolution Inf. Process., 2017

2016

Coefficient-based regularized regression with dependent and unbounded sampling.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2016

2015

The efficiency of using Orthogonal Matching Pursuit in compressed sensing.

[BibT_eX]

[DOI]

Xiujie Wei

J. Comput. Methods Sci. Eng., 2015

Improved bounds on restricted isometry constant for orthogonal multi matching pursuit.

[BibT_eX]

[DOI]

Xiujie Wei

J. Comput. Methods Sci. Eng., 2015

Convergence rate of semi-supervised gradient learning algorithms.

[BibT_eX]

[DOI]

Daohong Xiang

Int. J. Wavelets Multiresolution Inf. Process., 2015

2014

Strong Convex Loss Can Increase the Learning Rates of Online Learning.

[BibT_eX]

[DOI]

Liqin Duan

J. Comput., 2014

2013

Optimal error for Orthogonal Matching Pursuit for μ-coherent dictionaries.

[BibT_eX]

[DOI]

Jingfan Long

Xiujie Wei

Proceedings of the Ninth International Conference on Natural Computation, 2013

2012

Learning Rates of Support Vector Machine Classifiers with Data Dependent Hypothesis Spaces.

[BibT_eX]

[DOI]

J. Comput., 2012

Optimal order of truncation and aliasing errors for multi-dimensional Whittaker-Shannon sampling expansion.

[BibT_eX]

[DOI]

Xiuhua Yuan

Int. J. Wirel. Mob. Comput., 2012

2011

Inverse Estimates for Lupas-Baskakov Operators.

[BibT_eX]

[DOI]

Zhanjie Song

J. Comput., 2011

Least Square Regression Learning with Data Dependent Hypothesis and Coefficient Regularzation.

[BibT_eX]

[DOI]

J. Comput., 2011

Greedy approximation with regard to non-greedy bases.

[BibT_eX]

[DOI]

Vladimir N. Temlyakov

Mingrui Yang

Adv. Comput. Math., 2011

Quadrature formula for some classes of analytic functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

2010

Monte Carlo integration with small random bits.

[BibT_eX]

[DOI]

Sheng Zhang

Jingfan Long

Proceedings of the Sixth International Conference on Natural Computation, 2010

Convergence rate of quantum algorithm for multivariate approximation.

[BibT_eX]

[DOI]

Jingfan Long

Sheng Zhang

Proceedings of the Sixth International Conference on Natural Computation, 2010

2008

Optimal integration error on anisotropic classes for restricted Monte Carlo and quantum algorithms.

[BibT_eX]

[DOI]

Xiaofei Hu

J. Approx. Theory, 2008

Complexity of Functional Learning on Some Classes of Multivariate Functions.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Natural Computation, 2008

Quantum Complexity of the Approximation on the Classes B(Wrp([0, 1]d)) and B(Hrp([0, 1]d)).

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Natural Computation, 2008

Lower Bound for Quantum Integration Error on Some Sobolev Classes.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Natural Computation, 2008

An Adaptive Algorithm in m-Term Approximation for Some Multivariate Functions.

[BibT_eX]

[DOI]

Zhiyong Zhao

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Restricted Monte Carlo Integration on Some Multivariate Functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Quantum Approximation on Some Classes of Multivarite Functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007

An Greedy-type Algorithm in m-term Approximation For Besov Class with Mixed Smoothness.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Natural Computation, 2007

Quantum Approximation Error on Some Sobolev Classes.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Natural Computation, 2007

Quantum Integration Error on Some Classes of Multivariate Functions.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

2006

Quantum Integration Error for Some Sobolev Classes.

[BibT_eX]

[DOI]

Xiaofei Hu

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

2005

Computational complexity of the integration problem for anisotropic classes.

[BibT_eX]

[DOI]

Adv. Comput. Math., 2005

2003

Integration error for multivariate functions from anisotropic classes .

[BibT_eX]

[DOI]

Gensun Fang

J. Complex., 2003

Probabilistic and average linear widths of Sobolev space with Gaussian measure.

[BibT_eX]

[DOI]

Gensun Fang