Theory Refinement of Bayesian Networks with Hidden Variables.
Sowmya RamachandranRaymond J. MooneyPublished in: ICML (1998)
Keyphrases
- hidden variables
- bayesian networks
- probabilistic model
- markov networks
- generative model
- latent variables
- observable variables
- em algorithm
- probabilistic graphical models
- chain graphs
- models with hidden variables
- structure learning
- conditional independence
- incomplete data
- observed variables
- bayesian inference
- graphical models
- probability distribution
- conditional probabilities
- continuous variables
- parameter learning
- posterior distribution
- computer vision
- exact inference
- graph cuts
- knn
- training data