Estimation of convergence rate for multi-regression learning algorithm
type: Item
instance of: scholarly article
title: Estimation of convergence rate for multi-regression learning algorithm
zbMATH Open document ID: 1245.68163
author: Yongquan Zhang
author: Feilong Cao
author: Zongben Xu
publication date: 2012-08-17T00:00:00Z
full work available at URL: s11432-011-4314-8
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62J02
zbMATH DE Number: 6067119
zbMATH Keywords: learning theory
zbMATH Keywords: covering number
zbMATH Keywords: rate of convergence
zbMATH Keywords: entropy number
MaRDI profile type: Publication
OpenAlex ID: W2071382058
cites work: Q4261789
cites work: Structural risk minimization over data-dependent hierarchies
cites work: On the mathematical foundations of learning
cites work: Best choices for regularization parameters in learning theory: on the bias-variance problem.
cites work: Learning rates of least-square regularized regression
cites work: Learning theory estimates via integral operators and their approximations
cites work: Optimal rates for the regularized least-squares algorithm
cites work: Learning Theory
cites work: Learning rates for regularized classifiers using multivariate polynomial kernels
cites work: Approximation with polynomial kernels and SVM classifiers
cites work: Q3414499
cites work: Q3093220
cites work: Covering numbers for support vector machines
cites work: A note on different covering numbers in learning theory.
cites work: The covering number in learning theory
cites work: Capacity of reproducing kernel spaces in learning theory
cites work: ESTIMATING THE APPROXIMATION ERROR IN LEARNING THEORY
cites work: Q4239458
cites work: Fourier series and approximation on hexagonal and triangular domains
cites work: A new concentration result for regularized risk minimizers
DOI: 10.1007/S11432-011-4314-8
published in: Science China Information Sciences
description: scientific article; zbMATH DE number 6067119