Bagging and Feature Selection for Classification with Incomplete Data.
Cao Truong TranMengjie ZhangPeter AndreaeBing XuePublished in: EvoApplications (1) (2017)
Keyphrases
- incomplete data
- feature selection
- irrelevant attributes
- bayes classifier
- classification accuracy
- machine learning
- decision trees
- models built
- text classification
- missing data
- classification models
- support vector
- feature set
- bayesian networks
- support vector machine
- em algorithm
- feature space
- learning bayesian networks
- ensemble classifier
- model selection
- incomplete data sets
- multiple imputation
- pattern recognition
- training set
- feature extraction
- imbalanced data
- ensemble classification
- ensemble methods
- supervised learning
- random forest
- missing values
- majority voting
- multi class
- bayes classifiers
- ensemble learning
- feature selection algorithms
- feature subset
- classification rules
- computer vision
- training data
- neural network
- class imbalance
- feature vectors
- semi supervised
- machine learning algorithms
- text categorization