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Learning algorithms with optimal stability in neural networks
Open accessAbstract
To ensure large basins of attraction in spin-glass-like neural networks of two-state elements xi i mu =+or-1. The authors propose to study learning rules with optimal stability Delta , where delta is the largest number satisfying Delta
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Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Associative recall of memory without errors
Kanter, I., & Sompolinsky, H. (1987) · Physical Review A · doi:10.1103/physreva.35.380 · Cited by 379
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A training algorithm for optimal margin classifiers
Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992) · Proceedings of the fifth annual workshop on Computational learning theory · doi:10.1145/130385.130401 · Cited by 11,992
Advances in Large-Margin Classifiers
(2000) · The MIT Press eBooks · doi:10.7551/mitpress/1113.001.0001 · Cited by 1,869
Classification in the Presence of Label Noise: A Survey
Frenay, B., & Verleysen, M. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2013.2292894 · Cited by 1,777
The space of interactions in neural network models
Gardner, E. (1988) · Journal of Physics A: Mathematical and General · doi:10.1088/0305-4470/21/1/030 · Cited by 1,047
Online learning: A comprehensive survey
Hoi, S. C. H., Sahoo, D., Lu, J., & Zhao, P. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.04.112 · Cited by 746
Metadata
- Authors
- Krauth, W., & Mezard, M.
- Venue
- Journal of Physics A: Mathematical and General
- Publisher
- IOP Publishing
- Published
- 1987-08-01
- Volume
- 20
- Issue
- 11
- Pages
- L745-L752
- ISSN
- 0305-4470 (ISSN-L)
- 1361-6447
- OpenAlex
- W2054882585
- Cited by
- 415
- References
- 2
- FWCI
- 20.20
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Krauth, W., & Mezard, M. (1987). Learning algorithms with optimal stability in neural networks. Journal of Physics A: Mathematical and General. https://doi.org/10.1088/0305-4470/20/11/013
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
