Carlos Rojas-Guzmán

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Bayesian belief networks can be used to represent and to reason about complex systems with uncertain, incomplete and conflicting information. Belief networks are graphs encoding and quantifying probabilistic dependence and conditional independence amoo g variables. One type of reasoning of interest in diagnosis is called abductive inference (determination(More)
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