Parameter Learning of Bayesian Network with Multiplicative Synergistic Constraints.
Yu ZhangZhiming HuPublished in: Symmetry (2022)
Keyphrases
- parameter learning
- bayesian networks
- structure learning
- generative model
- statistical learning
- bayesian network learning
- conditional random fields
- parameter estimation
- approximate inference
- maximum likelihood
- em algorithm
- markov random field
- hidden variables
- expectation maximization
- probability distribution
- probabilistic model
- model selection
- conditional independence
- graphical models
- computer vision
- incomplete data