Uncertainty Quantification for Kernel Methods.
Balázs Csanád CsájiKrisztián Balázs KisPublished in: CoRR (2018)
Keyphrases
- kernel methods
- kernel function
- learning problems
- machine learning
- support vector
- support vector machine
- kernel matrix
- feature space
- learning tasks
- similarity function
- high dimensional feature space
- multiple kernel learning
- reproducing kernel hilbert space
- kernel pca
- kernel parameters
- multiple kernel
- missing data
- image processing
- kernel learning
- graph kernels
- kernel matrices
- data points
- data sets
- robust optimization
- kernel trick