Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package.
Marco ScutariPublished in: CoRR (2014)
Keyphrases
- bayesian networks
- learning algorithm
- active learning
- bayesian network structure
- data sets
- machine learning
- learning process
- parallel implementation
- graphical models
- machine learning algorithms
- hierarchical structure
- parallel processing
- structural learning
- learning bayesian networks
- approximate inference
- hidden variables
- incomplete data
- probabilistic inference
- learning tasks
- markov random field
- probabilistic model
- artificial neural networks
- data mining