Relative Comparison Kernel Learning with Auxiliary Kernels.
Eric HeimHamed ValizadeganMilos HauskrechtPublished in: ECML/PKDD (1) (2014)
Keyphrases
- kernel learning
- kernel function
- multiple kernel learning
- kernel methods
- support vector regression
- semi supervised
- kernel matrix
- multiple kernel
- gaussian kernels
- kernel matrices
- optimal kernel
- pairwise constraints
- learning tasks
- feature space
- linear combination
- support vector
- semidefinite program
- kernel based learning methods
- multi task learning
- distance metric
- knn