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 amoog variables. One type of reasoning of interest in diagnosis is called abductive inference (determination of(More)
Bayesian beliefnetworks can be used to represent and to reason about complex systems with uncertain or incomplete information. Bayesian networks are graphs capable of encoding and quantifying probabilistic dependence and conditional independence among variables. Diagnostic reasoning, also referred to as abdactiue infelnzce, determining the most probable(More)
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