|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Particle Swarm Optimisation for learning Bayesian Networks|
Hukins, David W L
Korsunsky, Alexander M
|Citation:||Cowie J, Oteniya L & Coles R (2007) Particle Swarm Optimisation for learning Bayesian Networks In: Ao Sio-Iong, Gelman Len, Hukins David W L, Hunter Andrew, Korsunsky Alexander M (ed.) Proceedings of the World Congress on Engineering 2007, Vol I, WCE 2007, July 2 - 4, 2007, London, U.K., Newswood Limited / International Association of Engineers (IAENG). ICCIIS 2007, World Congress on Engineering, WCE 2007, London, pp. 71-76.|
|Series/Report no.:||Lecture Notes in Engineering and Computer Science|
|Conference Name:||ICCIIS 2007, World Congress on Engineering, WCE 2007|
|Abstract:||This paper discusses the potential of Particle Swarm Optimisation (PSO) for inducing Bayesian Networks (BNs). Specifically, we detail two methods which adopt the search and score approach to BN learning. The two algorithms are similar in that they both use PSO as the search algorithm, and the K2 metric to score the resulting network. The difference lies in the way networks are constructed. The CONstruct And Repair (CONAR) algorithm generates structures, validates, and repairs if required, and the REstricted STructure (REST) algorithm, only permits valid structures to be developed. Initial experiments indicate that these approaches produce promising results when compared to other BN learning strategies.|
|Rights:||The publisher has granted permission for use of this conference paper in this Repository. The paper was first published in the Proceedings of The World Congress on Engineering 2007, Vol I, WCE 2007, July 2-4, 2007, London, U.K. by Newswood Limited / International Association of Engineers (IAENG).; Information from publisher: "Please note that the quotation format of the paper is Author Names, Paper title, Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 2007, WCE 2010, 2-4 July, 2007, London, U.K., ppXXXX-XXXX".|
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