Keyphrases
- incomplete data
- feature selection
- irrelevant attributes
- feature selection algorithms
- bayes classifier
- multi class
- learning bayesian networks
- missing data
- missing values
- bayesian networks
- incomplete data sets
- models built
- machine learning
- em algorithm
- text classification
- text categorization
- dimensionality reduction
- data sets
- typical testors
- feature subset
- feature weighting
- feature set
- multi task
- variational bayesian
- missing attribute values
- proximal point
- model selection
- generalization error
- expectation maximization
- support vector
- feature relevance
- similarity measure
- multiple imputation