Nearest Neighbor outperforms Kernel-Kernel Methods for Distribution Regression.
Ilqar RamazanliPublished in: CACML (2022)
Keyphrases
- kernel methods
- nearest neighbor
- kernel ridge regression
- reproducing kernel hilbert space
- support vector
- kernel function
- kernel matrix
- learning problems
- machine learning
- kernel matrices
- mercer kernels
- knn
- kernel parameters
- high dimensional
- kernel pca
- support vector regression
- support vector machine
- gaussian kernel
- multiple kernel learning
- feature space
- loss function
- training set
- positive semidefinite
- high dimensional data
- kernel learning
- similarity function
- high dimensional feature space
- reproducing kernel
- multiple kernel
- input space
- regression methods
- hilbert space
- positive semi definite
- image processing
- kernel trick
- regression method
- model selection
- distance function