Region Based Approximation for High Dimensional Bayesian Network Models.
Peng LinMartin NeilNorman E. FentonPublished in: CoRR (2016)
Keyphrases
- bayesian network models
- high dimensional
- marginal likelihood
- bayesian networks
- model selection
- optimization methods
- probabilistic inference
- closed form
- low dimensional
- nearest neighbor
- dimensionality reduction
- image segmentation
- gaussian process
- data mining
- high dimensional data
- parameter space
- graphical models
- hyperparameters
- approximate inference
- data points
- high dimensionality
- optimization algorithm
- optimization problems
- rare events