Asymptotic Model Selection for Directed Networks with Hidden Variables
Dan GeigerDavid HeckermanChristopher MeekPublished in: CoRR (2013)
Keyphrases
- hidden variables
- directed networks
- model selection
- marginal likelihood
- exponential family
- cross validation
- hyperparameters
- bayesian networks
- probabilistic model
- posterior distribution
- latent variables
- parameter estimation
- generative model
- bayesian inference
- em algorithm
- model selection criteria
- gaussian process
- information criterion
- communication delays
- mixture model
- sample size
- maximum flow
- regression model
- machine learning
- variable selection
- worst case
- feature selection
- missing values
- incomplete data
- probability distribution
- active learning
- training data
- random variables