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Conference Paper (international conference)

Characterization of inclusion neighbourhood in terms of the essential graph: Lower neighbours

Studený Milan

: Proceedings of the 6th Workshop on Uncertainty Processing, p. 243-262 , Eds: Vejnarová J.

: University of Economics, (Prague 2003)

: WUPES 2003. Workshop on Uncertainty Processing /6./, (Hejnice, CZ, 24.09.2003-27.09.2003)

: CEZ:AV0Z1075907

: GA201/01/1482, GA ČR

: essential graph, inclusion neighbourhood, Bayesian network

(eng): The topic of the paper is to characterize inclusion neighbourhood of a given equivalence class of Bayesian networks in terms of the respective essential graph. It is shown that every inclusion neighbour is uniquely described by a pair ([a,b],C) where [a,b] is a pair of distict nodes which is not an edge and C is a disjoint set of nodes. Given such [a,b] the collection of respective sets C is the union of two tufts. The least and maximal sets of these tufts can be read from the essential graph.

: 12A

: BA

07.01.2019 - 08:39