Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network.
David Maxwell ChickeringDavid HeckermanPublished in: UAI (1996)
Keyphrases
- incomplete data
- bayesian networks
- learning bayesian networks
- hyperparameters
- marginal likelihood
- missing data
- missing values
- em algorithm
- closed form
- gaussian process
- model selection
- mixture model
- exact inference
- training data
- high dimensional data
- gaussian mixture model
- posterior distribution
- hidden variables
- conditional independence
- expectation maximization