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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 PURE UUID: 2d4f98ce-8027-4211-a40c-b05e01debe2e
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.rights en
dc.title A Framework for the Scoring of Operators on the Search Space of Equivalence Classes of Bayesian Network Structures en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontoconference/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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