Sparse modeling using orthogonal forward regression with PRESS statistic and regularization.
Sheng ChenXia HongChris J. HarrisPaul M. SharkeyPublished in: IEEE Trans. Syst. Man Cybern. Part B (2004)
Keyphrases
- sparsity regularization
- sparse bayesian learning
- regression model
- high dimensional
- bi directional
- sparse regression
- sparse kernel
- elastic net
- mixed norm
- kernel ridge regression
- multi variate
- survival analysis
- canonical correlation analysis
- reproducing kernel hilbert space
- sparse data
- rank minimization
- prior information
- sparse representation