Output details
11 - Computer Science and Informatics
University of St Andrews
Output title
Learning When to Use Lazy Learning in Constraint Solving
Type
E - Conference contribution
Name of conference/published proceedings
Proceedings of the 19th European Conference on Artificial Intelligence (ECAI-2010)
Volume number
215
Issue number
-
First page of article
873
ISSN of proceedings
0922-6389
Year of publication
2010
URL
-
Number of additional authors
6
Additional information
<11>We show in this paper how Machine Learning can be productively applied to Constraint Programming. The Machine Learning method allows us to decide without human intervention when a constraint technique called "lazy learning" should be applied. This is important as lazy learning can be very beneficial but in other cases incurs high costs. Our use of Machine Learning has importance for the future of highly flexible constraint solvers which can be tuned to the problem at hand. This paper was published in ECAI, one of the top three conferences in Artificial Intelligence.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Artificial intelligence
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
