SIGN IN
SIGN UP
Active learning using on-line algorithms
Full Text:
PDF
Buy this Article
Authors:
Chris Mesterharm
Rutgers, The State University of New Jersey, Piscataway, NJ, USA
Michael J. Pazzani
Rutgers, The State University of New Jersey, Piscataway, NJ, USA
Published in:
· Proceeding
KDD '11
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Pages 850-858
ACM
New York, NY
, USA
©2011
table of contents
ISBN: 978-1-4503-0813-7
doi>
10.1145/2020408.2020553
2011 Article
Poster
Bibliometrics
· Downloads (6 Weeks): 5
· Downloads (12 Months): 68
· Downloads (cumulative): 184
· Citation Count: 0
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
KDD 13
Share:
|
Tags:
active learning
algorithms
design
induction
internet advertisement
online learning
performance
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