Multi-objective Feature Selection with Missing Data in Classification.
Yu XueYihang TangXin XuJiayu LiangFerrante NeriPublished in: CoRR (2021)
Keyphrases
- missing data
- feature selection
- multi objective
- automatic relevance determination
- multiple imputation
- classification accuracy
- missing values
- text classification
- support vector
- feature space
- incomplete data
- low rank
- feature extraction
- high dimensionality
- structure from motion
- machine learning
- motion segmentation
- feature set
- text categorization
- dimensionality reduction
- feature vectors
- imprecise data
- matrix factorization
- data imputation
- dimension reduction
- support vector machine
- model selection
- evolutionary algorithm
- missing information
- decision trees
- principal component analysis
- training set
- neural network
- database