SIGN IN
SIGN UP
Stochastic methods for
l
1
regularized loss minimization
Full Text:
PDF
Buy this Article
Authors:
Shai Shalev-Shwartz
Toyota Technological Institute at Chicago, Chicago, IL
Ambuj Tewari
Toyota Technological Institute at Chicago, Chicago, IL
Published in:
· Proceeding
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Pages 929-936
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-516-1
doi>
10.1145/1553374.1553493
2009 Article
Bibliometrics
· Downloads (6 Weeks): 9
· Downloads (12 Months): 162
· Downloads (cumulative): 601
· 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
feature evaluation and selection
modeling methodologies
performance
stochastic processes
stochastic programming
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