Bayesian networks are probabilistic graphical models that represent variables as nodes connected by directed edges encoding causal or dependency relations. In fault diagnosis, they enable the ...

Traditional supervised learning algorithms do not satisfactorily solve the classification problem on imbalanced data sets, since they tend to assign the majority class, to the detriment of the ...

Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...