SIGN IN
SIGN UP
Empirical Bernstein stopping
Full Text:
PDF
Buy this Article
Authors:
Volodymyr Mnih
University of Alberta, Edmonton, AB, Canada
Csaba Szepesvári
University of Alberta, Edmonton, AB, Canada
Jean-Yves Audibert
Certis - Ecole des Ponts, Marne-la-Vallée, France and Willow - ENS / INRIA, Paris, France
Published in:
· Proceeding
ICML '08
Proceedings of the 25th international conference on Machine learning
ACM
New York, NY
, USA
©2008
table of contents
ISBN: 978-1-60558-205-4
doi>
10.1145/1390156.1390241
2008 Article
Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 21
· Citation Count: 10
Tools and Resources
Buy this Article
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Share:
|
Tags:
algorithms
design
learning
modeling methodologies
performance
probabilistic algorithms
theory
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder