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: Jeffrey’s rule of conditioning has been proposed in order to revise a probability measure by another probability function. We generalize it within the framework of the models b...

Philippe Smets

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27

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UAI
1993

89views Artificial Intelligence» more UAI 1993»

Inference Algorithms for Similarity Networks

13 years 11 months ago

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We examine two types of similarity networks each based on a distinct notion of relevance. For both types of similarity networks we present an eﬃcient inference algorithm that wo...

Dan Geiger, David Heckerman

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37

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UAI
1993

144views Artificial Intelligence» more UAI 1993»

Causal Independence for Knowledge Acquisition and Inference

13 years 11 months ago

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I introduce a temporal belief-network representation of causal independence that a knowledge engineer can use to elicit probabilistic models. Like the current, atemporal belief-ne...

David Heckerman

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