S. K. Anderson

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When expert systems based on causal probabilistic networks (CPNs) reach a certain size and complexity, the"combinatorial explosion monster"tends to be present. We propose an approximation scheme that identifies rarely occurring cases and excludes these from being processed as ordinary cases in a CPN-based expert system. Depending on the topology and the(More)
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