Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data.
Anthony C. ConstantinouYang LiuKiattikun ChobthamZhigao GuoNeville Kenneth KitsonPublished in: CoRR (2020)
Keyphrases
- noisy data
- empirical validation
- bayesian network structure
- bayesian network structures
- bayesian networks
- learning algorithm
- learning bayesian networks
- conditional independence
- class noise
- directed acyclic graph
- training data
- equivalence classes
- noise tolerant
- search space
- missing data
- missing values
- supervised learning
- conditional probabilities
- network structure
- incomplete data
- markov blanket
- active learning
- scoring function
- structure learning
- high dimensional
- machine learning
- naive bayes classifier
- continuous variables
- data sets
- machine learning algorithms
- graphical models
- data mining
- database