Bayesian Network Structure Inference with an Hierarchical Bayesian Model.
Adriano Velasque WerhliPublished in: SBIA (2010)
Keyphrases
- bayesian network structure
- bayesian networks
- hierarchical bayesian model
- approximate inference
- learning bayesian networks
- hierarchical bayesian
- probabilistic inference
- conditional independence
- generative model
- exact inference
- directed acyclic graph
- latent dirichlet allocation
- search space
- bayesian inference
- topic models
- probabilistic model
- conditional probabilities
- gibbs sampling
- markov blanket
- dynamic bayesian networks
- graphical models
- parameter learning
- probability distribution
- variational inference
- incomplete data
- posterior probability
- structure learning
- belief networks
- scoring function
- text mining
- text classification
- least squares