On the Optimality of Backward Regression: Sparse Recovery and Subset Selection.
Sebastian AmentCarla P. GomesPublished in: ICASSP (2021)
Keyphrases
- subset selection
- sparse regression
- feature selection
- sparse bayesian learning
- relevance vector machine
- sparse kernel
- gaussian processes
- linear regression
- regression model
- sparse data
- covariance function
- canonical correlation analysis
- model selection
- sparse representation
- bi directional
- recovery algorithm
- compressive sensing
- optimal solution
- hill climbing
- sparse approximations
- sparse coding
- support vector regression
- forward backward
- ridge regression
- regression algorithm
- forward and backward
- regression analysis
- sparse matrix
- gaussian process regression
- polynomial regression
- image classification
- support vector machine
- neural network