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  1. The computational complexity of probabilistic inference using bayesian belief networks.Gregory F. Cooper - 1990 - Artificial Intelligence 42 (2-3):393-405.
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  • Initialization for the method of conditioning in Bayesian belief networks.H. Jacques Suermondt & Gregory F. Cooper - 1991 - Artificial Intelligence 50 (1):83-94.
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  • Approximating probabilistic inference in Bayesian belief networks is NP-hard.Paul Dagum & Michael Luby - 1993 - Artificial Intelligence 60 (1):141-153.
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  • Fusion, propagation, and structuring in belief networks.Judea Pearl - 1986 - Artificial Intelligence 29 (3):241-288.
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  • Fusion and propagation with multiple observations in belief networks.Mark A. Peot & Ross D. Shachter - 1991 - Artificial Intelligence 48 (3):299-318.
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