Constructive analysis for coefficient regularization regression algorithms-Reference-Cited by-同舟云学术

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Constructive analysis for coefficient regularization regression algorithms

Published:2015-11 Issue:2 Volume:431 Page:1153-1171
ISSN:0022-247X
Container-title:Journal of Mathematical Analysis and Applications
language:en
Short-container-title:Journal of Mathematical Analysis and Applications

Author:

Nie Weilin,Wang Cheng

Funder

NSF of China

Foundation for Distinguished Young Talents in Higher Education of Guangdong

Huizhou University

Chinese National Statistics Bureau

NSF of Guangdong Province in China

‘12.5’ Planning Project of Common Construction Subject for Philosophical and Social Sciences in Guangdong

Publisher

Elsevier BV

Subject

Applied Mathematics,Analysis

Reference26 articles.

1. Support vector machine soft margin classifiers: error analysis;Chen;J. Mach. Learn. Res.,2004

2. On the mathematical foundations of learning;Cucker;Bull. Amer. Math. Soc.,2002

3. Least-squares regularized regression with dependent samples and q-penalty;Feng;Appl. Anal.,2012

4. Unified approach to coefficient-based regularized regression;Feng;Comput. Math. Appl.,2011

5. Concentration estimates for learning with unbounded sampling;Guo;Adv. Comput. Math.,2013

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1. Learning capability of the rescaled pure greedy algorithm with non-iid sampling;Electronic Research Archive;2023

2. Coefficient-based lq-regularized regression with indefinite kernels and unbounded sampling;Journal of Approximation Theory;2018-12

3. Error analysis for l q $l^{q}$ -coefficient regularized moving least-square regression;Journal of Inequalities and Applications;2018-09-25

4. Convergence Rate for $l^{q}$ -Coefficient Regularized Regression With Non-i.i.d. Sampling;IEEE Access;2018

5. Error Analysis of Least-Squares $l^{^{q}}$ -Regularized Regression Learning Algorithm With the Non-Identical and Dependent Samples;IEEE Access;2018

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