Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach 论文

2022ACM eBooks引用 756

Bayesian Modeling and Causal InferenceData Visualization and AnalyticsData Quality and Management

Data Visualization and Analytics Bayesian Modeling and Causal Inference Data Quality and Management

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This paper presents generalizations of Bayes likelihood-ratio updating rule which facilitate an asynchronous propagation of the impacts of new beliefs and/or new evidence in hierarchically organized inference structures with multi-hypotheses variables. The computational scheme proposed specifies a set of belief parameters, communication messages and updating rules which guarantee that the diffusion of updated beliefs is accomplished in a single pass and complies with the tenets of Bayes calculus.

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Judea Pearl

Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach 论文

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