On the generalization error of fixed combinations of classifiers
type: Item
instance of: scholarly article
title: On the generalization error of fixed combinations of classifiers
zbMATH Open document ID: 1115.68126
author: Martin Anthony
published in: Journal of Computer and System Sciences
publication date: 2007-05-30T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68Q32
zbMATH DE Number: 5159572
zbMATH Keywords: computational learning
zbMATH Keywords: complexity of learning
zbMATH Keywords: generalization error
zbMATH Keywords: large margins
MaRDI profile type: Publication
full work available at URL: j.jcss.2006.10.017
OpenAlex ID: W2010463294
cites work: Q3093185
cites work: Neural Network Learning
cites work: Function Learning from Interpolation
cites work: Q4004178
cites work: A learning rule for very simple universal approximators consisting of a single layer of perceptrons
cites work: Q4706445
cites work: The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network
cites work: Enlarging the margins in perceptron decision trees
cites work: Learnability and the Vapnik-Chervonenkis dimension
cites work: Uniform Central Limit Theorems
cites work: Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers
cites work: Convergence of stochastic processes
cites work: Structural risk minimization over data-dependent hierarchies
cites work: Advances in large-margin classifiers
cites work: Q4935997
cites work: On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
cites work: 10.1162/153244302760200713
DOI: 10.1016/J.JCSS.2006.10.017
description: scientific article; zbMATH DE number 5159572