Quantitatively Tight Sample Complexity Bounds (2002)
by
John Langford
| Citations: | 4 - 1 self |
BibTeX
@TECHREPORT{Langford02quantitativelytight,
author = {John Langford},
title = {Quantitatively Tight Sample Complexity Bounds},
institution = {},
year = {2002}
}
OpenURL
Abstract
This document is primarily about the theory of sample complexity for answering the question "Have we learned?". However, we do not neglect the experimental side. In particular, following the theory we will present results for application of sample complexity bounds to machine learning problems. These results are the 'best known results' in terms of bound tightness and should be considered as a guide and challenge to others working on sample complexity bounds







