
Intercausal Independence and Heterogeneous Factorization
It is well known that conditional independence can be used to factorize ...
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Irrelevance and Independence Relations in QuasiBayesian Networks
This paper analyzes irrelevance and independence relations in graphical ...
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Argument Calculus and Networks
A major reason behind the success of probability calculus is that it pos...
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Contextual Weak Independence in Bayesian Networks
It is wellknown that the notion of (strong) conditional independence (C...
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Bayesian Decision Theory and Stochastic Independence
Stochastic independence has a complex status in probability theory. It i...
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Parallel Belief Revision
This paper describes a formal system of belief revision developed by Wol...
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Inference Algorithms for Similarity Networks
We examine two types of similarity networks each based on a distinct not...
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Advances in Probabilistic Reasoning
This paper discuses multiple Bayesian networks representation paradigms for encoding asymmetric independence assertions. We offer three contributions: (1) an inference mechanism that makes explicit use of asymmetric independence to speed up computations, (2) a simplified definition of similarity networks and extensions of their theory, and (3) a generalized representation scheme that encodes more types of asymmetric independence assertions than do similarity networks.
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