Random Gegenbauer Features for Scalable Kernel Methods.
Insu HanAmir ZandiehHaim AvronPublished in: ICML (2022)
Keyphrases
- kernel methods
- feature space
- kernel function
- learning problems
- kernel matrix
- machine learning
- data sets
- support vector
- similarity function
- tree kernels
- kernel pca
- kernel ridge regression
- principal components
- principal component analysis
- support vector machine
- feature vectors
- high dimensional
- feature extraction
- decision trees
- feature selection