Structure learning of Bayesian Networks using global optimization with applications in data classification
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
Improving Naive Bayes classifier using conditional probabilities
Double bundle method for finding clarke stationary points in nonsmooth dc programming
Attribute weighted Naive Bayes classifier using a local optimization
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