This project explores Bayesian network structure learning using mutual information and Minimum Description Length (MDL) scoring. It implements an algorithm to construct probabilistic graphical models based on real-world data and evaluate their efficiency in representing dependencies between variables.
Tania526-sudo/Bayesian_Network_Learning
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