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Title: Intercausal independence and heterogeneous actorization
Authors: Zhang, Nevin Lianwen
Poole, David
Keywords: Bayesian networks
Intercausal independence
Issue Date: 1994
Citation: Proceedings of the 10th conference on uncertainties in artificial intelligence (UAI '94), Seattle, USA, July 1994
Abstract: A constructive definition of intercausal independence is given. It is well known that conditional independence implies factorization of joint probability. Under the constructive definition, intercausal independence implies factorization of conditional probability. An inference algorithm is developed, which makes use of both conditional independence and intercausal independence to reduce inference complexity in Bayesian networks.
Appears in Collections:CSE Conference Papers

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