Random Subspace Sampling for Classification with Missing Data.
Yun-Hao CaoJian-Xin WuPublished in: J. Comput. Sci. Technol. (2024)
Keyphrases
- missing data
- random subspace
- random sampling
- multiple imputation
- classifier fusion
- random forest
- missing values
- incomplete data
- classification accuracy
- matrix factorization
- pattern recognition
- statistical databases
- cross validation
- image classification
- machine learning algorithms
- majority voting
- feature vectors
- machine learning
- sample size
- training set
- logistic regression
- generalization ability
- benchmark datasets
- support vector machine svm
- active learning
- feature space
- decision trees
- feature selection