Algebraic Logic
Bayesian networks are graphical models that represent a set of variables and their conditional dependencies using directed acyclic graphs (DAGs). They provide a way to model uncertainty in complex systems by encoding probabilistic relationships among variables, allowing for both inference and decision-making in artificial intelligence and machine learning applications.
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