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

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