2024
Approximation properties of some vector weak biorthogonal greedy algorithms.
Int. J. Wavelets Multiresolution Inf. Process., November, 2024
Sparse Signal Recovery via Rescaled Matching Pursuit.
Axioms, May, 2024
2023
A multi-point collaborative DDoS defense mechanism for IIoT environment.
Digit. Commun. Networks, April, 2023
Efficiency of Orthogonal Matching Pursuit for Group Sparse Recovery.
Axioms, April, 2023
Optimality of the rescaled pure greedy learning algorithms.
Int. J. Wavelets Multiresolution Inf. Process., March, 2023
Approximation Properties of the Blending-Type Bernstein-Durrmeyer Operators.
Axioms, January, 2023
2022
Unified error estimate for weak biorthogonal Greedy algorithms.
Int. J. Wavelets Multiresolution Inf. Process., 2022
Optimality of the Approximation and Learning by the Rescaled Pure Super Greedy Algorithms.
Axioms, 2022
Almost Optimality of the Orthogonal Super Greedy Algorithm for μ-Coherent Dictionaries.
Axioms, 2022
2021
Efficiency of the weak Rescaled Pure Greedy Algorithm.
Int. J. Wavelets Multiresolution Inf. Process., 2021
2020
Randomized approximation numbers on Besov classes with mixed smoothness.
Int. J. Wavelets Multiresolution Inf. Process., 2020
Error analysis of the moving least-squares regression learning algorithm with β-mixing and non-identical sampling.
Int. J. Comput. Math., 2020
2019
Error analysis of the moving least-squares method with non-identical sampling.
Int. J. Comput. Math., 2019
2018
Coefficient-based lq-regularized regression with indefinite kernels and unbounded sampling.
J. Approx. Theory, 2018
Convergence Rate for l<sup>q</sup>-Coefficient Regularized Regression With Non-i.i.d. Sampling.
IEEE Access, 2018
Error Analysis of Least-Squares l<sup>q</sup>-Regularized Regression Learning Algorithm With the Non-Identical and Dependent Samples.
IEEE Access, 2018
2017
The improved learning rate for regularized regression with RKBSs.
Int. J. Mach. Learn. Cybern., 2017
Almost optimality of orthogonal super greedy algorithms for incoherent dictionaries.
Int. J. Wavelets Multiresolution Inf. Process., 2017
2016
Coefficient-based regularized regression with dependent and unbounded sampling.
Int. J. Wavelets Multiresolution Inf. Process., 2016
2015
The efficiency of using Orthogonal Matching Pursuit in compressed sensing.
J. Comput. Methods Sci. Eng., 2015
Improved bounds on restricted isometry constant for orthogonal multi matching pursuit.
J. Comput. Methods Sci. Eng., 2015
Convergence rate of semi-supervised gradient learning algorithms.
Int. J. Wavelets Multiresolution Inf. Process., 2015
2014
Strong Convex Loss Can Increase the Learning Rates of Online Learning.
J. Comput., 2014
2013
Optimal error for Orthogonal Matching Pursuit for μ-coherent dictionaries.
Proceedings of the Ninth International Conference on Natural Computation, 2013
2012
Learning Rates of Support Vector Machine Classifiers with Data Dependent Hypothesis Spaces.
J. Comput., 2012
Optimal order of truncation and aliasing errors for multi-dimensional Whittaker-Shannon sampling expansion.
Int. J. Wirel. Mob. Comput., 2012
2011
Inverse Estimates for Lupas-Baskakov Operators.
J. Comput., 2011
Least Square Regression Learning with Data Dependent Hypothesis and Coefficient Regularzation.
J. Comput., 2011
Greedy approximation with regard to non-greedy bases.
Adv. Comput. Math., 2011
Quadrature formula for some classes of analytic functions.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011
2010
Monte Carlo integration with small random bits.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Convergence rate of quantum algorithm for multivariate approximation.
Proceedings of the Sixth International Conference on Natural Computation, 2010
2008
Optimal integration error on anisotropic classes for restricted Monte Carlo and quantum algorithms.
J. Approx. Theory, 2008
Complexity of Functional Learning on Some Classes of Multivariate Functions.
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)).
Proceedings of the Fourth International Conference on Natural Computation, 2008
Lower Bound for Quantum Integration Error on Some Sobolev Classes.
Proceedings of the Fourth International Conference on Natural Computation, 2008
An Adaptive Algorithm in m-Term Approximation for Some Multivariate Functions.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
Restricted Monte Carlo Integration on Some Multivariate Functions.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
Quantum Approximation on Some Classes of Multivarite Functions.
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.
Proceedings of the Third International Conference on Natural Computation, 2007
Quantum Approximation Error on Some Sobolev Classes.
Proceedings of the Third International Conference on Natural Computation, 2007
Quantum Integration Error on Some Classes of Multivariate Functions.
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.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006
2005
Computational complexity of the integration problem for anisotropic classes.
Adv. Comput. Math., 2005
2003
Integration error for multivariate functions from anisotropic classes .
J. Complex., 2003
Probabilistic and average linear widths of Sobolev space with Gaussian measure.
J. Complex., 2003