Improving a Network Generalization Ability by Selecting Examples
- 1 November 1990
- journal article
- Published by IOP Publishing in Europhysics Letters
- Vol. 13 (5) , 473-477
- https://doi.org/10.1209/0295-5075/13/5/016
Abstract
No abstract availableThis publication has 6 references indexed in Scilit:
- On the ability of the optimal perceptron to generaliseJournal of Physics A: General Physics, 1990
- Learning from Examples in a Single-Layer Neural NetworkEurophysics Letters, 1990
- The Hebb Rule for Learning Linearly Separable Boolean Functions: Learning and GeneralizationEurophysics Letters, 1989
- The space of interactions in neural network modelsJournal of Physics A: General Physics, 1988
- Learning algorithms with optimal stability in neural networksJournal of Physics A: General Physics, 1987
- A theory of the learnableCommunications of the ACM, 1984