SIGN IN
SIGN UP
Prediction using Pittsburgh learning classifier systems: APCS use case
Full Text:
PDF
Buy this Article
Authors:
Mathias Peroumalnaik
Université des Antilles et de la Guyane, Pointe-à-pitre, Guadeloupe
Gilles Énée
Université des Antilles et de la Guyane, Pointe-à-pitre, Guadeloupe
Published in:
· Proceeding
GECCO '10
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Pages 1901-1908
ACM
New York, NY
, USA
©2010
table of contents
ISBN: 978-1-4503-0073-5
doi>
10.1145/1830761.1830823
2010 Article
Short paper
Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 14
· Downloads (cumulative): 51
· 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:
GECCO '13
Share:
|
Tags:
algorithms
apcs
classification
concept learning
knowledge acquisition
map
performance
pittsburgh learning classifier systems
segmentation
verification
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