Scalable Structure Learning of K-Dependence Bayesian Network Classifier.
Hong-Jia RenXian-Chang WangPublished in: IEEE Access (2020)
Keyphrases
- bayesian network classifiers
- structure learning
- bayesian networks
- graphical models
- conditional independence
- parameter learning
- parameter estimation
- transfer learning
- continuous variables
- discriminative learning
- sample size
- probability distribution
- markov networks
- network structure
- belief propagation
- highly efficient
- markov random field
- feature space
- text mining
- least squares
- probabilistic model
- feature selection