Upper Bounds for Variational Stochastic Complexities of Bayesian Networks.
Kazuho WatanabeMotoki ShigaSumio WatanabePublished in: IDEAL (2006)
Keyphrases
- upper bound
- bayesian networks
- lower bound
- free energy
- sum product
- upper and lower bounds
- stochastic context free grammars
- worst case
- linear gaussian
- graphical models
- structure learning
- image segmentation
- probabilistic reasoning
- tight bounds
- sample complexity
- probabilistic model
- expert knowledge
- probability distribution
- message passing
- conditional independence
- conditional probabilities
- monte carlo
- learning bayesian networks
- tight upper and lower bounds
- random variables
- naive bayes
- lower and upper bounds
- bayesian belief networks
- continuous variables
- incomplete data
- probabilistic inference
- conditional probability distributions
- sample size
- multiply sectioned bayesian networks
- optical flow