Relative Comparison Kernel Learning with Auxiliary Kernels.
Eric HeimHamed ValizadeganMilos HauskrechtPublished in: CoRR (2013)
Keyphrases
- kernel learning
- kernel function
- multiple kernel learning
- kernel matrix
- support vector regression
- multiple kernel
- kernel matrices
- dimensionality reduction
- kernel methods
- semi supervised
- semidefinite program
- gaussian kernels
- pairwise constraints
- learning tasks
- optimal kernel
- distance metric
- knn
- pairwise
- clustering algorithm
- kernel based learning methods
- feature space
- support vector