Efficient distribution-free learning of probabilistic concepts
Journal of Computer and System Sciences - Special issue: 31st IEEE conference on foundations of computer science, Oct. 22–24, 1990
Scale-sensitive dimensions, uniform convergence, and learnability
Journal of the ACM (JACM)
Generalization performance of support vector machines and other pattern classifiers
Advances in kernel methods
On the VC Dimension of Bounded Margin Classifiers
Machine Learning
A Note on a Scale-Sensitive Dimension of Linear Bounded Functionals in Banach Spaces
ALT '97 Proceedings of the 8th International Conference on Algorithmic Learning Theory
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We compute the fat-shattering function and the level fat-shattering function for important classes of affine functions. We observe that the level fat-shattering function and the fat-shattering function are identical for these classes. In addition we observe that the notion that adding the constant term to linear functions increases the dimension by at most 1 is incorrect for fat-shattering and level fat-shattering.