Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks

Abstract

Article Average case analysis of the clipped Hebb rule for nonoverlapping perception networks Share on Authors: Mostefa Golea View Profile , Mario Marchand View Profile Authors Info & Claims COLT '93: Proceedings of the sixth annual conference on Computational learning theoryAugust 1993 Pages 151–157https://doi.org/10.1145/168304.168323Published:01 August 1993 3citation149DownloadsMetricsTotal Citations3Total Downloads149Last 12 Months1Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited. To manage your alert preferences, click on the button below. Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

Cite

Text

Golea and Marchand. "Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks." Annual Conference on Computational Learning Theory, 1993. doi:10.1145/168304.168323

Markdown

[Golea and Marchand. "Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks." Annual Conference on Computational Learning Theory, 1993.](https://mlanthology.org/colt/1993/golea1993colt-average/) doi:10.1145/168304.168323

BibTeX

@inproceedings{golea1993colt-average,
  title     = {{Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks}},
  author    = {Golea, Mostefa and Marchand, Mario},
  booktitle = {Annual Conference on Computational Learning Theory},
  year      = {1993},
  pages     = {151-157},
  doi       = {10.1145/168304.168323},
  url       = {https://mlanthology.org/colt/1993/golea1993colt-average/}
}