VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers

This work proposes a hybrid approach to help the process of learning a Bayesian Classifier (BC) from data. The proposed method named VOGA (and its variant VOGA+) uses a Genetic Algorithm to optimize the BC learning process by means of the identification of an adequate variables ordering. The main co... View More