Learning sparse gradients for variable selection and dimension reduction.
Gui-Bo YeXiaohui XiePublished in: Mach. Learn. (2012)
Keyphrases
- dimension reduction
- variable selection
- high dimensional
- random projections
- input variables
- learning process
- principal component analysis
- feature extraction
- group lasso
- high dimensional data
- linear discriminant analysis
- sparsity inducing
- unsupervised learning
- learning problems
- cluster analysis
- singular value decomposition
- cross validation
- learning algorithm
- model selection
- low dimensional
- knn
- similarity measure
- structured sparsity
- neural network
- high dimensional data analysis
- sparse metric learning
- supervised learning
- data warehouse
- image data
- feature space
- preprocessing
- ls svm
- training data