NeurIPS 1991
Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods
Abstract
In this paper we investigate an average-case model of concept learning, and give results that place the popular statistical physics and VC dimension theories of learning curve behavior in a common framework.
Authors
Keywords
No keywords are indexed for this paper.
Context
- Venue
- Annual Conference on Neural Information Processing Systems
- Archive span
- 1987-2025
- Indexed papers
- 30776
- Paper id
- 882385947322924262