Bayesian network modelling through qualitative patterns

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Bayesian network modelling through qualitative patterns

In designing a Bayesian network for an actual problem, developers need to bridge the gap between the mathematical abstractions offered by the Bayesian-network formalism and the features of the problem to be modelled. Qualitative probabilistic networks (QPNs) have been put forward as qualitative analogues to Bayesian networks, and allow modelling interactions in terms of qualitative signs. They ...

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ژورنال

عنوان ژورنال: Artificial Intelligence

سال: 2005

ISSN: 0004-3702

DOI: 10.1016/j.artint.2004.10.011