Likelihood Scores. Lecture XX. Reminder from Information Theory. Mutual Information: Conditional Mutual Information: Entropy: Conditional Mutual Information: . Scoring Maximum Likelihood Function.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
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