Variable selection using axis-aligned random projections for partial least-squares regression.
Youwu LinXin ZengPei WangShuai HuangKok Lay TeoPublished in: Stat. Comput. (2024)
Keyphrases
- variable selection
- random projections
- partial least squares regression
- dimension reduction
- high dimensional
- input variables
- compressive sensing
- dimensionality reduction
- low dimensional
- principal component analysis
- cross validation
- feature selection
- high dimensional data
- neural network
- sparse representation
- random sampling
- model selection
- high dimensionality
- linear discriminant analysis
- feature extraction
- image reconstruction
- unsupervised learning
- feature space
- singular value decomposition
- pattern recognition
- hash functions
- data mining
- data sets
- database
- text classification
- information extraction
- preprocessing
- multiscale
- decision trees