Adaptive minimax regression estimation over sparse lq-hulls.
Zhan WangSandra PaterliniFuchang GaoYuhong YangPublished in: J. Mach. Learn. Res. (2014)
Keyphrases
- regularized regression
- nonparametric regression
- sparse bayesian learning
- generalized linear models
- ordinary least squares
- regression model
- support vector
- dense motion estimation
- sparse regression
- sparse kernel
- relevance vector machine
- high dimensional
- logistic regression
- linear regression
- regression analysis
- neural network
- parameter estimation
- estimation problems
- regression methods
- support vector regression
- optimal control
- canonical correlation analysis
- compressive sensing
- estimation accuracy
- denoising
- least squares
- decision directed
- sparse data
- estimation error