Name
Abstract | ||
|---|---|---|
. The control of Bayesian network (BN) evaluation is importantin the development of real-time decision making systems. Techniqueswhich focus attention by considering the relevance of variables in a BNallow more efficient use of computational resources. The statistical conceptof mutual information (MI) between two related random variablescan be used to measure relevance. We extend this idea to present a newmeasure of arc weights in a BN, and show how these can be combined togive a measure ... |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/BFb0095287 | PRICAI |
Keywords | Field | DocType |
determine relevance,mutual information,bayesian networks,bayesian network | Random variable,Heuristic,Bhattacharyya distance,Computer science,Decision support system,Bayesian network,Mutual information,Artificial intelligence,Probabilistic logic,Machine learning,Computational complexity theory | Conference |
Volume | ISSN | ISBN |
1531 | 0302-9743 | 3-540-65271-X |
Citations | PageRank | References |
14 | 1.04 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ann E. Nicholson | 1 | 692 | 88.01 |
| Nathalie Jitnah | 2 | 63 | 7.98 |