Attribute weighted Naive Bayes classifier using a local optimization
Improving Naive Bayes classifier using conditional probabilities
Structure learning of Bayesian networks using a new unrestricted dependency algorithm
Learning the naive bayes classifier with optimization models
Globally convergent algorithms for solving unconstrained optimization problems
Multi-source cyber-attacks detection using machine learning
Structure learning of Bayesian Networks using global optimization with applications in data classification
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