A Framework for the Scoring of Operators on the Search Space of Equivalence Classes of Bayesian Network Structures

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dc.contributor.author Shen, Qiang
dc.contributor.author Daly, Ronan
dc.date.accessioned 2008-01-15T21:14:34Z
dc.date.available 2008-01-15T21:14:34Z
dc.date.issued 2005
dc.identifier.citation Shen , Q & Daly , R 2005 , ' A Framework for the Scoring of Operators on the Search Space of Equivalence Classes of Bayesian Network Structures ' pp. 67-74 . en
dc.identifier.other PURE: 74480
dc.identifier.other dspace: 2160/435
dc.identifier.uri http://hdl.handle.net/2160/435
dc.description R. Daly and Q. Shen. A Framework for the Scoring of Operators on the Search Space of Equivalence Classes of Bayesian Network Structures. Proceedings of the 2005 UK Workshop on Computational Intelligence, pages 67-74. en
dc.description.abstract A method is proposed, whereby a particular application of an operator, applied to a structure representing a Bayesian network equivalence class can be scored in a generic fashion. This is achieved by representing a particular compound operator in terms of a finite set of primitive operators and finding the score of the compound operator through the influence of the primitive operators on the equivalence class. This method could be used in a Bayesian network structure learning framework which allows arbitrary definition of operators at runtime, by the composition of primitive operators. en
dc.format.extent 8 en
dc.language.iso eng
dc.relation.ispartof en
dc.title A Framework for the Scoring of Operators on the Search Space of Equivalence Classes of Bayesian Network Structures en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Non peer reviewed en


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