Bayesian Network Marginalization
Bayesian networks are widely used to model uncertainty and relationships between variables in complex systems. One of the most important operations within these models is marginalization, a process that allows us to focus on specific variables while systematically accounting for the influence of others. Bayesian network marginalization plays a central role in probabilistic reasoning, decision-making, … Read more