More Powerful Selective Kernel Tests for Feature Selection.
Jen Ning LimMakoto YamadaWittawat JitkrittumYoshikazu TeradaShigeyuki MatsuiHidetoshi ShimodairaPublished in: AISTATS (2020)
Keyphrases
- feature selection
- feature space
- support vector
- class separability
- kernel function
- kernel learning
- text categorization
- feature set
- kernel regression
- unsupervised learning
- machine learning
- kernel methods
- support vector machine
- model selection
- selected features
- kernel matrix
- high level
- information gain
- classification models
- high dimensionality
- linear svm
- decision trees
- discriminative features
- classification accuracy
- method for feature selection
- gaussian processes
- feature selection algorithms
- statistical tests
- text classification
- dimensionality reduction
- knn