Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data.
Anthony C. ConstantinouYang LiuKiattikun ChobthamZhigao GuoNeville Kenneth KitsonPublished in: Int. J. Approx. Reason. (2021)
Keyphrases
- noisy data
- empirical validation
- bayesian network structure
- bayesian network structures
- bayesian networks
- learning algorithm
- learning bayesian networks
- class noise
- conditional independence
- training data
- noise tolerant
- conditional probabilities
- equivalence classes
- search space
- directed acyclic graph
- missing data
- machine learning algorithms
- high dimensional
- markov blanket
- machine learning
- missing values
- scoring function
- active learning
- high dimensionality
- network structure
- incomplete data
- unlabeled data
- labeled data
- transfer learning
- structure learning
- statistical data
- graphical models
- principal component analysis
- supervised learning
- feature space
- data sets