Keyphrases
- high dimensional
- sparse data
- generalized linear models
- regression model
- low dimensional
- estimation problems
- similarity search
- high dimensionality
- nearest neighbor
- high dimensional data
- multi variate
- sparse coding
- high dimension
- regression problems
- variable selection
- dimensionality reduction
- feature space
- sparse bayesian learning
- linear regression
- additive models
- gene expression data
- manifold learning
- regression analysis
- high dimensional spaces
- canonical correlation analysis
- support vector regression
- input space
- high dimensional problems
- dimension reduction
- model selection
- sparse regression
- relevance vector machine
- regression methods
- face recognition
- sparse approximations
- noisy data
- logistic regression
- multi dimensional
- data points
- partial least squares
- linear models
- gaussian processes
- microarray data
- genetic programming
- artificial neural networks
- support vector