A Parallel Algorithm for Bayesian Network Parameter Learning Based on Factor Graph.
Yue ZhaoJungang XuYunjun GaoPublished in: ICTAI (2013)
Keyphrases
- parameter learning
- parallel algorithm
- factor graphs
- bayesian networks
- structure learning
- probabilistic graphical models
- approximate inference
- statistical learning
- graphical models
- conditional random fields
- generative model
- maximum likelihood
- em algorithm
- markov random field
- parameter estimation
- probability distribution
- hidden variables
- probabilistic inference
- conditional probabilities
- exact inference
- random variables
- conditional independence
- dynamic bayesian networks
- machine learning
- posterior probability
- np hard
- transfer learning
- supervised learning