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Priors on network structures. Biasing the search for Bayesian networks

✍ Scribed by Robert Castelo; Arno Siebes

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
309 KB
Volume
24
Category
Article
ISSN
0888-613X

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✦ Synopsis

In this paper we show how a user can inΒ―uence recovery of Bayesian networks from a database by specifying prior knowledge. The main novelty of our approach is that the user only has to provide partial prior knowledge, which is then completed to a full prior over all possible network structures. This partial prior knowledge is expressed among variables in an intuitive pairwise way, which embodies the uncertainty of the user about his/her own prior knowledge. Thus, the uncertainty of the model is updated in the normal Bayesian way.

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