Maximal width learning of binary functions
type: Item
instance of: scholarly article
title: Maximal width learning of binary functions
zbMATH Open document ID: 1189.68173
author: Joel Ratsaby
author: Martin Anthony
published in: Theoretical Computer Science
publication date: 2009-12-01T00:00:00Z
Mathematics Subject Classification ID: 68W05
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5641356
zbMATH Keywords: binary function classes
zbMATH Keywords: learning algorithms
MaRDI profile type: Publication
full work available at URL: j.tcs.2009.09.020
OpenAlex ID: W2131319366
cites work: Scale-sensitive dimensions, uniform convergence, and learnability
cites work: Neural Network Learning
cites work: Function Learning from Interpolation
cites work: Q4004178
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: Covering numbers for real-valued function classes
cites work: Learnability and the Vapnik-Chervonenkis dimension
cites work: Q3827451
cites work: Efficient distribution-free learning of probabilistic concepts
cites work: Sharper bounds for Gaussian and empirical processes
cites work: Q4935997
cites work: On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
DOI: 10.1016/J.TCS.2009.09.020
description: scientific article; zbMATH DE number 5641356