Title
A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference
Abstract
We compare two approaches to Bayesian network in- ference, called variable elimination (VE) and arc rever- sal (AR). It is established that VE never requires more space than AR, and never requires more computation (multiplications and additions) than AR.
Year
Venue
Keywords
2009
FLAIRS Conference
bayesian network,variable elimination
Field
DocType
Citations 
Variable elimination,Arc (geometry),Computer science,Inference,Bayesian network,Artificial intelligence,Machine learning,Computation
Conference
3
PageRank 
References 
Authors
0.51
2
4
Name
Order
Citations
PageRank
Cory J. Butz138340.80
Junying Chen2355.27
K. Konkel3232.72
Pawan Lingras41408143.21