Keyphrases
- high dimensional
- generalized linear models
- variable selection
- estimation problems
- regression model
- linear models
- sparse data
- survival analysis
- simple linear
- semi parametric
- linear regression
- low dimensional
- target variable
- regression problems
- dimensionality reduction
- regression function
- nonlinear regression
- estimation error
- high dimensional data
- sparse bayesian learning
- multi variate
- regularized regression
- linear model
- error analysis
- additive models
- independent variables
- similarity search
- locally linear
- nonparametric regression
- sparse regression
- nearest neighbor
- model selection
- logistic regression
- high dimension
- regression methods
- sparse coding
- closed form
- ordinary least squares
- regression method
- robust regression
- relevance vector machine
- high dimensionality
- sparse kernel
- error minimization
- continuous valued
- feature selection
- sparse approximation
- input space
- regression analysis
- bayesian networks
- support vector
- dense motion estimation
- data points
- nonlinear models
- kernel function
- density estimation
- ridge regression
- random variables
- canonical correlation analysis