Title
Incorporating variance in impact-based search
Abstract
We present a simple modification to the idea of impact-based search which has proven highly effective for several applications. Impacts measure the average reduction in search space due to propagation after a variable assignment has been committed. Rather than considering the mean reduction only, we consider the idea of incorporating the variance in reduction. Experimental results show that using variance can result in improved search performance.
Year
DOI
Venue
2011
10.1007/978-3-642-23786-7_36
CP
Keywords
Field
DocType
improved search performance,mean reduction,search space,simple modification,impacts measure,impact-based search,average reduction,incorporating variance,variable assignment
Mathematical optimization,Computer science
Conference
Citations 
PageRank 
References 
3
0.45
6
Authors
4
Name
Order
Citations
PageRank
Serdar Kadioglu1957.29
Eoin O'Mahony2575.68
Philippe Refalo31559.51
Meinolf Sellmann472848.77