ML Anthology

Learning from a Population of Hypotheses

Michael J. Kearns, H. Sebastian Seung
COLT 1993 pp. 101-110
doi:10.1145/168304.168317 /colt/1993/kearns1993colt-learning/

Abstract

Article Free Access Share on Learning from a population of hypotheses Authors: Michael Kearns View Profile , H. Sebastian Seung View Profile Authors Info & Claims COLT '93: Proceedings of the sixth annual conference on Computational learning theoryAugust 1993 Pages 101–110https://doi.org/10.1145/168304.168317Online:01 August 1993Publication History 5citation182DownloadsMetricsTotal Citations5Total Downloads182Last 12 Months2Last 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 SiteeReaderPDF

PDF COLT Semantic Scholar

Cite

Text

Kearns and Seung. "Learning from a Population of Hypotheses." Annual Conference on Computational Learning Theory, 1993. doi:10.1145/168304.168317

Markdown

[Kearns and Seung. "Learning from a Population of Hypotheses." Annual Conference on Computational Learning Theory, 1993.](https://mlanthology.org/colt/1993/kearns1993colt-learning/) doi:10.1145/168304.168317

BibTeX

@inproceedings{kearns1993colt-learning,
  title     = {{Learning from a Population of Hypotheses}},
  author    = {Kearns, Michael J. and Seung, H. Sebastian},
  booktitle = {Annual Conference on Computational Learning Theory},
  year      = {1993},
  pages     = {101-110},
  doi       = {10.1145/168304.168317},
  url       = {https://mlanthology.org/colt/1993/kearns1993colt-learning/}
}