Composite Feature Selection Using Deep Ensembles.
Fergus ImrieAlexander NorcliffePietro LióMihaela van der SchaarPublished in: NeurIPS (2022)
Keyphrases
- feature selection
- feature ranking
- ensemble learning
- imbalanced data
- decision trees
- mutual information
- classification accuracy
- ensemble feature selection
- feature set
- information gain
- feature subset
- feature space
- high dimensionality
- feature selection algorithms
- text categorization
- irrelevant features
- ensemble methods
- models built
- gene expression data
- model selection
- text classification
- multi class
- unsupervised feature selection
- decision stumps
- selection algorithm
- ensemble selection
- forward selection
- method for feature selection
- ensemble classifier
- microarray data
- prediction accuracy
- dimensionality reduction
- selected features
- meta learning
- deep learning
- random forests
- machine learning
- redundant features
- naive bayes
- principal component analysis
- support vector
- feature extraction
- selecting relevant features
- word sense induction