Variable selection in high-dimension with random designs and orthogonal matching pursuit.
Antony JosephPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- variable selection
- high dimension
- high dimensional
- high dimensional data
- feature selection
- input variables
- dimension reduction
- low dimensional
- cross validation
- feature space
- dimensionality reduction
- model selection
- input space
- data points
- data sets
- high dimensionality
- ls svm
- machine learning
- support vector machine
- sparse representation
- nearest neighbor
- data analysis
- class labels
- neural network model
- linear combination
- similarity measure