Peixin Ye

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Error analysis for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$l^{q}$\end{document}lq-coefficient regularized movin

Qin Guo, Peixin Ye, 2018, Journal of inequalities and applications.

Convergence rate for the moving least-squares learning with dependent sampling

Qin Guo, Peixin Ye, 2018, Journal of Inequalities and Applications.

The Learning Rates of Regularized Regression Based on Reproducing Kernel Banach Spaces

Peixin Ye, B. Sheng, 2013 .

Stability in Compressed Sensing for Some Sparse Signals

Peixin Ye, Sheng Zhang, 2012 .

Stability and Instance Optimality in Compressed Sensing with Regard to Some Measurement Matrices

Peixin Ye, Sheng Zhang, 2011, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing.

Quadrature formula for some classes of analytic functions

Peixin Ye, 2011, EMEIT.

Quantum Integration Error for Some Sobolev Classes

Peixin Ye, Xiaofei Hu, Peixin Ye, 2006, ICNC.

Uniform Bounds of Aliasing and Truncated Errors in Sampling Series of Functions from Anisotropic Besov Class

Peixin Ye, Yongjie Han, 2013 .

Error Analysis for Shannon Sampling Series Approximation with Measured Sampled Values

Peixin Ye, 2013 .

Uniform Error Bounds for Reconstruct Functions from Weighted Bernstein Class

Peixin Ye, Yongjie Han, 2013 .

Learning rates for least square regressions with coefficient regularization

Jian Li Wang, Peixin Ye, Bao-huai Sheng, 2012 .

Coefficient Regularized Algorithms for Learning and Classification

Peixin Ye, B. Sheng, Jinhua Zhang, 2012 .

Complexity of Sobolev imbeddings and integration in the deterministic and randomized settings

Peixin Ye, 2011 .

Applications of Orthogonal Matching Pursuit in Compressed Sensing

Peixin Ye, Jingfan Long, X. Wei, 2013 .

Learning Rate of Least Square Regressions with Some Kind of Mercer Kernel

Peixin Ye, Bao-huai Sheng, Liqin Duan, 2012, 2012 Second International Conference on Intelligent System Design and Engineering Application.

Estimates of central moments for one kind of exponential-type operators

Zhanjie Song, Peixin Ye, Zhendong Yang, 2011 .

Complexity for the approximation of Sobolev imbeddings in the quantum computation model

Peixin Ye, Jingfan Long, Xiuhua Yuan, 2011, Proceedings of the 30th Chinese Control Conference.

Lower bound for quantum integration error on anisotropic Sobolev classes

Peixin Ye, 2010 .

Optimal query error of quantum approximation on some Sobolev classes

Zhanjie Song, Peixin Ye, 2008 .

Exact asymptotic orders of various randomized widths on Besov classes

Peixin Ye, Liqin Duan, 2020, Communications on Pure & Applied Analysis.

The Gel'fand Approximations on Multivariate Functions in the Deterministic and Monte Carlo Settings

Peixin Ye, Liqin Duan, Jingfan Long, 2014 .

Uniform bounds of truncation error for shannon sampling expansion

Peixin Ye, 2011, International Conference on Information Science and Technology.

Uniform Truncation Error for Shannon Sampling Expansion

Peixin Ye, Sheng Zhang, 2010, 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM).

Kolmogorov and Linear Widths on Generalized Besov Classes in the Monte Carlo Setting

Peixin Ye, Liqin Duan, 2011 .

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

Peixin Ye, Chunfang Shao, Jincai Chang, 2022, Axioms.

A Note on Stability and Instance Optimality in Compressed Sensing

Shenmin Zhang, Peixin Ye, 2011 .

Information-Based Complexity of Integration in the Randomized and Quantum Computation Model

W. Zhou, Peixin Ye, Liqin Duan, 2011 .

Efficiency of weak greedy algorithms for m-term approximations

Peixin Ye, Xiujie Wei, 2016 .

Efficiency of weak greedy algorithms for m-term approximations

Peixin Ye, Xiujie Wei, 2015, Science China Mathematics.

Greedy Approximation with Regard to Some Normalized Bases

Peixin Ye, Sheng Zhang, 2010, 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM).

Greedy algorithm in m-term approximation for periodic Besov class with mixed smoothness

Zhanjie Song, Peixin Ye, 2009 .

Complexity of Monte Carlo integration for Besov classes on the unit sphere

Peixin Ye, Liqin Duan, Wan Li, 2022, Annals of Functional Analysis.

The improved learning rate for regularized regression with RKBSs

Peixin Ye, B. Sheng, Huanxiang Liu, 2016, International Journal of Machine Learning and Cybernetics.

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

Cheng Wang, Qin Guo, Peixin Ye, 2018, J. Approx. Theory.

Inverse Estimates for Lupas-Baskakov Operators

Peixin Ye, Zhanjie Song, Zhanjie Song, 2011, J. Comput..

Computational complexity of the integration problem for anisotropic classes

Peixin Ye, Peixin Ye, 2005, Adv. Comput. Math..

Probabilistic and average linear widths of Sobolev space with Gaussian measure

Gensun Fang, Peixin Ye, Peixin Ye, 2003, J. Complex..

Greedy approximation with regard to non-greedy bases

Vladimir N. Temlyakov, Peixin Ye, Mingrui Yang, 2011, Adv. Comput. Math..

Approximation by the Extended Neural Network Operators of Kantorovich Type

Peixin Ye, Yi Zhao, Chenghao Xiang, 2023, Mathematics.

Integration error for multivariate functions from anisotropic classes

Gensun Fang, Peixin Ye, Peixin Ye, 2003, J. Complex..

Quantum Integration Error on Some Classes of Multivariate Functions

Qing He, Peixin Ye, Qing He, 2007, ICIC.

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

Peixin Ye, Xiaofei Hu, Peixin Ye, 2008, J. Approx. Theory.

Estimates for Multilinear Hilbert Operators on Morrey Spaces and the Best Constants

Peixin Ye, W. Gao, 2013 .

The improved learning rate for regularized regression with RKBSs

Baohuai Sheng, Peixin Ye, Huanxiang Liu, 2016, International Journal of Machine Learning and Cybernetics.

Error analysis for lq$l^{q}$-coefficient regularized moving least-square regression

Qin Guo, Peixin Ye, 2018, Journal of Inequalities and Applications.

Convergence rate for the moving least-squares learning with dependent sampling

Qin Guo, Peixin Ye, 2018, Journal of Inequalities and Applications.

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

Qin Guo, Peixin Ye, Qin Guo, 2019, Int. J. Comput. Math..

Coefficient-based regularized regression with dependent and unbounded sampling

Qin Guo, Peixin Ye, Qin Guo, 2016, Int. J. Wavelets Multiresolution Inf. Process..

Convergence Rate for $l^{q}$ -Coefficient Regularized Regression With Non-i.i.d. Sampling

Binlei Cai, Peixin Ye, Qin Guo, 2018, IEEE Access.

Estimates of the Restricted Isometry Constant in Super Greedy Algorithms

Peixin Ye, Xiujie Wei, 2015 .

Improved bounds on restricted isometry constant for orthogonal multi matching pursuit

Peixin Ye, Xiujie Wei, Peixin Ye, 2015, J. Comput. Methods Sci. Eng..

Error Analysis of Least-Squares $l^{^{q}}$ -Regularized Regression Learning Algorithm With the Non-Identical and Dependent Samples

Peixin Ye, Qin Guo, Qin Guo, 2018, IEEE Access.

Truncation and aliasing errors for Whittaker-Kotelnikov-Shannon sampling expansion

Zhanjie Song, Peixin Ye, Pei-xin Ye, 2012 .

Error Analysis for Multi-Dimensional Shannon Sampling Expansion

Peixin Ye, 2011, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing.

Truncation error and aliasing error for Whittaker-Shannon sampling expansion

Peixin Ye, Jingfan Long, Xiuhua Yuan, 2011, Proceedings of the 30th Chinese Control Conference.

Error Bounds for Multi-dimensional Whittaker-Shannon Sampling Expansion

Peixin Ye, 2011, 2011 International Conference on Multimedia and Signal Processing.

Monte Carlo integration with small random bits

Sheng Zhang, Peixin Ye, Jingfan Long, 2010, 2010 Sixth International Conference on Natural Computation.

Restricted Monte Carlo Integration on Some Multivariate Functions

Qing He, Peixin Ye, Qing He, 2008, 2008 International Conference on Computer Science and Software Engineering.

Lower Bound for Quantum Integration Error on Some Sobolev Classes

Peixin Ye, Peixin Ye, 2008, 2008 Fourth International Conference on Natural Computation.

Complexity of Functional Learning on Some Classes of Multivariate Functions

Qing He, Peixin Ye, Qing He, 2008, 2008 Fourth International Conference on Natural Computation.

Quantum Approximation Error on Some Sobolev Classes

Peixin Ye, Peixin Ye, 2007, Third International Conference on Natural Computation (ICNC 2007).

Quantum Integration Error for Some Sobolev Classes

Hu Xiaofei, Peixin Ye, Ye Peixin, 2006, ICNC.

COMPUTATIONAL COMPLEXITY IN WORST, STOCHASTIC AND AVERAGE CASE SETTING ON FUNCTIONAL APPROXIMATION PROBLEM OF MULTIVARIATE

Peixin Ye, G. Fang, 2005 .

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

Xiuhua Yuan, Baohuai Sheng, Peixin Ye, 2012, Int. J. Wirel. Mob. Comput..

The Approximation Theorem of Convolution Operator in Δp Set-valued Function Space

Peixin Ye, 2002 .

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

Baohuai Sheng, Peixin Ye, Peixin Ye, 2012, J. Comput..

Lebesgue-type inequalities for greedy approximation with respect to quasi-greedy bases

V. Temlyakov, Mingrui Yang, Peixin Ye, 2011 .

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

Peixin Ye, Qin Guo, Qin Guo, 2019, Int. J. Comput. Math..

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

Peixin Ye, Peixin Ye, 2008, 2008 Fourth International Conference on Natural Computation.