More Powerful Selective Kernel Tests for Feature Selection.
Jen Ning LimMakoto YamadaWittawat JitkrittumYoshikazu TeradaShigeyuki MatsuiHidetoshi ShimodairaPublished in: CoRR (2019)
Keyphrases
- feature selection
- feature space
- support vector
- class separability
- kernel function
- kernel learning
- text categorization
- mutual information
- kernel methods
- text classification
- high dimensionality
- multiple kernel learning
- model selection
- information gain
- high level
- discriminative features
- unsupervised feature selection
- feature selection algorithms
- feature set
- support vector machine
- discriminant analysis
- unsupervised learning
- irrelevant features
- kernel regression
- classification accuracy
- feature extraction
- feature selection and classification
- selecting relevant features