Random Gegenbauer Features for Scalable Kernel Methods.
Insu HanAmir ZandiehHaim AvronPublished in: CoRR (2022)
Keyphrases
- kernel methods
- feature space
- kernel function
- support vector
- similarity function
- reproducing kernel hilbert space
- multiple kernel learning
- feature vectors
- kernel matrix
- feature set
- machine learning
- kernel pca
- classification accuracy
- neural network
- classification method
- learning problems
- principal component analysis
- support vector machine
- feature extraction
- kernel learning
- tree kernels