A Randomized Approximation Algorithm of Logic Sampling

27 Mar 2013 R. Martin Chavez Gregory F. Cooper

In recent years, researchers in decision analysis and artificial intelligence (AI) have used Bayesian belief networks to build models of expert opinion. Using standard methods drawn from the theory of computational complexity, workers in the field have shown that the problem of exact probabilistic inference on belief networks almost certainly requires exponential computation in the worst ease [3]... (read more)

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