Exploiting causal independence in large Bayesian networks

The assessment of a probability distribution associated with a Bayesian network is a challenging task, even if its topology is sparse. Special probability distributions based on the notion of causal independence have therefore been proposed, as these allow defining a probability distribution in term...

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Veröffentlicht in:	Knowledge-based systems 2005-08, Vol.18 (4), p.153-162
Hauptverfasser:	Jurgelenaite, Rasa, Lucas, Peter J.F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian networks Boolean strategies Causal independence Knowledge based systems Knowledge representation Parameter estimation Probability theory
Online-Zugang:	Volltext
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