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A comparison of structural distance measures for causal Bayesian network models

de Jongh, Martijn and Druzdzel, Marek J. (2009) A comparison of structural distance measures for causal Bayesian network models. In: Recent Advances in Intelligent Information Systems, Challenging Problems of Science, Computer Science series. Academic Publishing House EXIT, Warsaw, Poland, pp. 443-456. ISBN 9788360434598

Abstract

We compare measures of structural distance between both, Bayesian networks Aand equivalence classes of Bayesian networks. The main application of these measures is in learning algorithms, where typically the interest is in how accurately a gold standard structure is retrieved by a learning algorithm. Structural distance measures can be especially useful when looking for causal structures. We discuss desirable properties of measures, review existing measures, and show some of our empirical findings concerning the performance of these metrics in practice.


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Item Type: Book Section
Title: A comparison of structural distance measures for causal Bayesian network models
Status: Published
Abstract: We compare measures of structural distance between both, Bayesian networks Aand equivalence classes of Bayesian networks. The main application of these measures is in learning algorithms, where typically the interest is in how accurately a gold standard structure is retrieved by a learning algorithm. Structural distance measures can be especially useful when looking for causal structures. We discuss desirable properties of measures, review existing measures, and show some of our empirical findings concerning the performance of these metrics in practice.
Date: 2009
Date Type: Publication
Publisher: Academic Publishing House EXIT
Place of Publication: Warsaw, Poland
Page Range: pp. 443-456
Institution: University of Pittsburgh
Refereed: Yes
ISBN: 9788360434598
Title of Book: Recent Advances in Intelligent Information Systems, Challenging Problems of Science, Computer Science series
Editors:
EditorsEmail
Klopotek, Mieczyslaw
Przepiorkowski, Adam
Wierzchon, Slawomir T.
Trojanowski, Krzysztof
Schools and Programs: School of Information Sciences > Information Science
Date Deposited: 12 Jul 2011 10:08
Last Modified: 12 Jul 2011 10:08

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