Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction.
Matthew BrandPublished in: Neural Comput. (1999)
Keyphrases
- structure learning
- probability models
- prior distribution
- bayesian networks
- probability distribution
- conditional probabilities
- graphical models
- conditional independence
- parameter estimation
- random variables
- posterior distribution
- statistical models
- transfer learning
- network structure
- sample size
- probabilistic model
- markov networks
- bayesian framework
- prior knowledge
- prior information
- bayesian inference
- maximum likelihood estimation
- probability density function
- maximum a posteriori
- computer vision