A Sliding-Window Kernel RLS Algorithm and Its Application to Nonlinear Channel Identification.
Steven Van VaerenberghJavier VíaIgnacio SantamaríaPublished in: ICASSP (5) (2006)
Keyphrases
- sliding window
- data streams
- regularized least squares
- kernel pca
- fixed size
- stream data
- window size
- kernel function
- limited memory
- kernel methods
- variable size
- space efficient
- least squares
- feature space
- hybrid learning
- reproducing kernel hilbert space
- streaming data
- support vector
- window sizes
- fixed width
- database
- recursive least squares
- continuous queries
- data mining