Likelihood Scores. Lecture XX. Reminder from Information Theory. Mutual Information: Conditional Mutual Information: Entropy: Conditional Mutual Information: . Scoring Maximum Likelihood Function.
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YTwo Graph Structures
where is the mutual information between X and Y in the distribution
The goal is to maximize the mutual information
Entropy: to penalize addition of too many arcs between the nodes to prevent over fitting.
Looping over all variables
Looping over all rows of CPT
All settings of this variable