SPOT: Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regression Analysis.
Qiming HuangMichael ZhuPublished in: KDD (2017)
Keyphrases
- variable selection
- high dimensional
- regression analysis
- group lasso
- low dimensional
- input variables
- regression model
- linear models
- cross validation
- high dimensional data
- data points
- high dimensionality
- dimensionality reduction
- model selection
- dimension reduction
- linear regression model
- explanatory variables
- factor analysis
- nearest neighbor
- worst case
- feature space
- sparsity inducing
- structured sparsity
- linear regression models
- sparse coding
- computer vision
- data sets