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Gregory F. Cooper
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A bayesian method for the induction of probabilistic networks from data
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A combination of cutset conditioning with clique-tree propagation in the pathfinder system
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A diagnostic method that uses casual knowledge and linear programming in the application of bayes' formula
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A method for temporal probabilistic reasoning
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A probabilistic reformulation of the quick medical reference system
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A randomized approximation algorithm for logic sampling
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A randomized approximation algorithm for probabilistic inference on bayesian belief networks
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Algorithms for bayesian belief-network precomputation
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An algorithm for computing propositions
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An empirical analysis of likelihood-weighting simulation on a large, multiply-connected belief network
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An empirical evaluation of a randomized algorithm for probabilistic inference
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An evaluation of explanations of probabilistic inference
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Bayesian belief-network inference using recursive decomposition
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Bounded conditioning: flexible inference for decisions under scarce resources
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Building a speech interface to a medical diagnostic system
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Computer-based medical diagnosis using belief networks and bounded probabilities
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Determination of the entropy of a belief network is np-hard
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Expert systems based on belief networks - current research directions
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Initialization for the method of conditioning in bayesian belief networks
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Knet: integrating hypertext and normative bayesian modeling
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