A Structure Learning Algorithm for Bayesian Network Using Prior Knowledge.
Jungang XuYue ZhaoJian ChenChao HanPublished in: J. Comput. Sci. Technol. (2015)
Keyphrases
- structure learning algorithm
- bayesian networks
- prior knowledge
- structure learning
- conditional independence
- probabilistic classifiers
- markov blanket
- continuous domains
- graphical models
- bayesian framework
- posterior probability
- parameter learning
- training data
- probabilistic model
- prior information
- random variables
- latent variables
- probabilistic inference
- probability distribution
- hidden variables
- conditional probabilities
- naive bayes
- exact inference
- generative model
- influence diagrams
- incomplete data
- markov networks
- causal relationships
- parameter estimation
- unlabeled data
- approximate inference
- variable selection
- causal discovery
- high dimensional
- machine learning