A parallel algorithm for Bayesian network structure learning from large data sets.
Anders L. MadsenFrank JensenAntonio SalmerónHelge LangsethThomas D. NielsenPublished in: Knowl. Based Syst. (2017)
Keyphrases
- parallel algorithm
- bayesian network structure learning
- bayesian networks
- graph theoretic
- structure learning
- data sets
- hill climbing search
- parallel computation
- shared memory
- hill climbing
- max min
- graphical models
- cluster of workstations
- parallel version
- medial axis transform
- parallel implementations
- discovery of association rules
- transfer learning
- random variables
- parameter estimation
- binary search trees
- machine learning