Use of the Zero-Norm with Linear Models and Kernel Methods.
Jason WestonAndré ElisseeffBernhard SchölkopfMichael E. TippingPublished in: J. Mach. Learn. Res. (2003)
Keyphrases
- kernel methods
- linear models
- learning problems
- kernel function
- linear model
- variable selection
- kernel matrix
- support vector
- feature space
- machine learning
- linear regression
- support vector machine
- gaussian processes
- learning tasks
- reproducing kernel hilbert space
- causal relationships
- nonlinear models
- principal component analysis
- multi class
- semi supervised learning
- least squares
- high dimensional
- pairwise
- feature selection