@inproceedings{f4e3db0f2e674615b2fab8ae2edb2297,
title = "Edge evaluation in Bayesian network structures",
abstract = "We propose a measure for assessing the degree of influence of a set of edges of a Bayesian network on the overall fitness of the network, starting with probability distributions extracted from a data set. Standard fitness measures such as the Cooper-Herskowitz score or the score based on the minimum description length are computationally expensive and do not focus on local modifications of networks. Our approach can be used for simplifying the Bayesian network structures without significant loss of fitness. Experimental work confirms the validity of our approach.",
keywords = "Bayesian belief network, Edge pruning, Entropy, Kullbach-Leibler divergence",
author = "Saaid Baraty and Simovici, \{Dan A.\}",
year = "2009",
language = "English",
isbn = "9781920682828",
series = "Conferences in Research and Practice in Information Technology Series",
pages = "193--202",
booktitle = "AusDM'09 - Conferences in Research and Practice in Information TechnologyConferences in Research and Practice in Information Technology",
note = "8th Australasian Data Mining Conference, AusDM 2009 ; Conference date: 01-12-2009 Through 04-12-2009",
}