Local Probabilistic Approximations for Incomplete Data.
Patrick G. ClarkJerzy W. Grzymala-BusseMartin KuehnhausenPublished in: ISMIS (2012)
Keyphrases
- incomplete data
- bayesian networks
- learning bayesian networks
- missing data
- missing values
- em algorithm
- incomplete data sets
- generative model
- bayes classifier
- posterior probability
- probabilistic model
- closed form
- graphical models
- models built
- multiple imputation
- class labels
- cross validation
- neural network
- dimensionality reduction
- input data
- pattern recognition
- variational bayesian
- irrelevant attributes
- typical testors
- proximal point
- low dimensional