dplbnDE: An R package for discriminative parameter learning of Bayesian Networks by Differential Evolution.
Alejandro Platas-LópezAlejandro Guerra-HernándezFrancisco GrimaldoNicandro Cruz-RamírezEfrén Mezura-MontesMarcela Quiroz-CastellanosPublished in: SoftwareX (2023)
Keyphrases
- differential evolution
- bayesian network classifiers
- bayesian networks
- evolutionary algorithm
- optimization algorithm
- differential evolution algorithm
- structure learning
- naive bayes
- tree augmented naive bayes
- particle swarm optimization
- optimization method
- genetic algorithm
- graphical models
- numerical optimization problems
- parameter optimization
- probability distribution
- conditional probabilities
- classification accuracy
- conditional independence
- probabilistic model
- bayesian network structure
- global optimization problems
- incomplete data
- multi objective
- parameter learning
- feature selection
- solving global optimization problems
- probabilistic inference
- benchmark data sets
- naive bayes classifier
- continuous variables
- bayesian network models
- random variables
- maximum likelihood