A note on variable selection in functional regression via random subspace method.
Lukasz SmagaHidetoshi MatsuiPublished in: Stat. Methods Appl. (2018)
Keyphrases
- variable selection
- subspace methods
- model selection
- cross validation
- input variables
- high dimensional
- linear discriminant analysis
- dimension reduction
- principal component analysis
- regression model
- face recognition
- ensemble methods
- linear regression
- regression problems
- support vector machine
- lower dimensional
- benchmark datasets
- machine learning
- linear subspace
- support vector machine svm
- high dimensional data
- data sets
- dimensionality reduction
- face images
- least squares
- artificial neural networks
- support vector
- feature extraction
- data mining