Characterization of inclusion neighbourhood in terms of the essential graph
نویسندگان
چکیده
منابع مشابه
Characterization of inclusion neighbourhood in terms of the essential graph
The question of efficient characterization of inclusion neighbourhood is crucial in some methods for learning (equivalence classes of) Bayesian networks. In this paper, neighbouring equivalence classes of a given equivalence class of Bayesian networks are characterized efficiently in terms of the respective essential graph. One can distinguish two kinds of inclusion neighbours: upper and lower ...
متن کاملCharacterization of Inclusion Neighbourhood in Terms of the Essential Graph: Uper Neighbours
The topic of the contribution is to characterize the inclusion neighbourhood of a given equivalence class of Bayesian networks in terms of the respective essential graph in such a way that it can be used eeciently in a method of local search for maximization of a quality criterion. One can distinguish two kinds of inclusion neighbours: upper and lower ones. A previous paper 15] gave a character...
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10 The question of efficient characterization of inclusion neighbourhood is crucial in some 11 methods for learning (equivalence classes of) Bayesian networks. In this paper, neighbouring 12 equivalence classes of a given equivalence class of Bayesian networks are characterized effi13 ciently in terms of the respective essential graph. One can distinguish two kinds of inclusion 14 neighbours: u...
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The problem of eecient characterization of inclusion neighbourhood is crucial for some methods of learning (equivalence classes of) Bayesian networks. In this paper, neighbouring equivalence classes of a given equivalence class of Bayesian networks are characterized eeciently by means of the respective essential graph. The characterization reveals hidded internal structure of the inclusion neig...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2005
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2004.05.007