Multi-Objective Feature Selection With Missing Data in Classification.
Yu XueYihang TangXin XuJiayu LiangFerrante NeriPublished in: IEEE Trans. Emerg. Top. Comput. Intell. (2022)
Keyphrases
- missing data
- feature selection
- automatic relevance determination
- multi objective
- classification accuracy
- multiple imputation
- missing values
- support vector
- incomplete data
- high dimensionality
- structure from motion
- feature extraction
- feature space
- model selection
- text classification
- low rank
- support vector machine
- machine learning
- feature set
- motion segmentation
- evolutionary algorithm
- decision trees
- data imputation
- text categorization
- unsupervised learning
- learning algorithm
- matrix factorization
- feature vectors
- class labels
- dimensionality reduction
- knn
- information gain
- missing information
- neural network
- perfect phylogeny
- databases