Improving performance for classification with incomplete data using wrapper-based feature selection.
Cao Truong TranMengjie ZhangPeter AndreaeBing XuePublished in: Evol. Intell. (2016)
Keyphrases
- feature selection
- incomplete data
- irrelevant attributes
- bayes classifier
- classification accuracy
- support vector
- learning bayesian networks
- feature ranking
- classification models
- text classification
- wrapper feature selection
- machine learning
- support vector machine
- feature set
- incomplete data sets
- model selection
- high dimensionality
- missing data
- missing values
- models built
- feature extraction
- bayesian networks
- feature selection algorithms
- feature space
- text categorization
- em algorithm
- discriminative features
- pattern recognition
- multi class
- multiple imputation
- cross validation
- training set
- supervised learning
- attribute selection
- feature vectors
- wrapper method
- image processing
- typical testors
- active learning
- face recognition
- unseen data
- feature subset
- classification method
- high dimensional
- knn