Generalized co-sparse factor regression.
Aditya MishraDipak K. DeyYong ChenKun ChenPublished in: Comput. Stat. Data Anal. (2021)
Keyphrases
- regression model
- sparse regression
- sparse bayesian learning
- model selection
- relevance vector machine
- sparse kernel
- sparse data
- canonical correlation analysis
- eigenvalue decomposition
- compressed sensing
- regression methods
- sparse approximations
- gaussian process
- high dimensional
- regression algorithm
- ridge regression
- regression analysis
- factor analysis
- generalized linear models
- linear regression
- group lasso
- generalized linear
- polynomial regression
- image classification
- semi supervised