A Wrapper Feature Selection Approach to Classification with Missing Data.
Cao Truong TranMengjie ZhangPeter AndreaeBing XuePublished in: EvoApplications (1) (2016)
Keyphrases
- missing data
- wrapper feature selection
- multiple imputation
- missing values
- classification accuracy
- incomplete data
- structure from motion
- data imputation
- imprecise data
- support vector
- feature selection
- automatic relevance determination
- low rank
- machine learning
- motion segmentation
- missing information
- pattern recognition
- model selection
- dimension reduction
- probabilistic model
- class labels
- face recognition
- statistical databases
- unseen data
- decision trees
- maximum likelihood
- text classification
- training set