Hamid Kalantari

Extendable and Iterative Structure Learning Strategy for Bayesian Networks

Learning the structure of Bayesian networks is a fundamental yet computationally intensive task, especially as the number of variables grows. Traditional algorithms require retraining from scratch when new variables are introduced, making them impractical for dynamic or large-scale applications. In…