Structure Learning of Bayesian Networks by Finding the Optimal Ordering.
Chu-Chao HeXiao-Guang GaoZhi-gao GuoPublished in: ICPR (2018)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- learning bayesian networks
- conditional independence
- parameter learning
- bayesian network structure learning
- bayesian network structures
- bayesian network classifiers
- markov blanket
- bayesian network structure
- structure learning algorithm
- markov logic networks
- parameter estimation
- transfer learning
- probabilistic inference
- probabilistic model
- dynamic bayesian networks
- structure and parameter learning
- continuous variables
- conditional probabilities
- posterior probability
- probability distribution
- probabilistic reasoning
- optimal solution
- markov networks
- dynamic programming
- exact inference
- probabilistic graphical models
- incomplete data
- belief propagation
- network structure
- stereo matching
- conditional random fields
- sample size
- random variables
- active learning