Distributed kernel learning using Kernel Recursive Least Squares.
Nicholas J. FraserDuncan J. M. MossNicolas EpainPhilip Heng Wai LeongPublished in: ICASSP (2015)
Keyphrases
- kernel learning
- recursive least squares
- kernel function
- kernel matrix
- multiple kernel learning
- support vector regression
- kernel methods
- semi supervised
- optimal kernel
- dimensionality reduction
- support vector
- input space
- distance metric
- learning tasks
- machine learning
- linear combination
- pattern recognition
- training samples
- pairwise constraints
- graph cuts
- learning algorithm