Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications.
Rong ZhuAndreas PfadlerZiniu WuYuxing HanXiaoke YangFeng YeZhenping QianJingren ZhouBin CuiPublished in: CoRR (2020)
Keyphrases
- structure learning
- bayesian networks
- structure learning algorithm
- graphical models
- markov blanket
- parameter learning
- conditional independence
- learning algorithm
- bayesian network classifiers
- learning bayesian networks
- bayesian network structures
- conditional independence tests
- probabilistic inference
- probabilistic model
- maximum likelihood estimation
- parameter estimation
- worst case
- upper bound
- bayesian network structure