Query the model: precomputations for efficient inference with Bayesian Networks
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We consider a setting where a Bayesian network has been built over a relational database to represent the joint distribution of data attributes and is used to perform approximate query processing or answer predictive queries. We explain how careful precomputation of certain probabilistic quantities can lead to large efficiency gains in response time and provide algorithms for optimal precomputation.
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