Reasoning under uncertainty IX

Aug 25, 2024 • 1h 4m • 35 views

Conditional independence allows for more efficient representations of complex probabilistic models. In graphical models like Bayesian Networks, conditional independence is visually represented through the absence of direct connections (edges) between certain nodes (variables).