Breaking the curse of dimensionality with Isolation Kernel.
Kai Ming TingTakashi WashioYe ZhuYang XuPublished in: CoRR (2021)
Keyphrases
- kernel methods
- kernel function
- convolution kernel
- kernel learning
- perceptron learning
- feature space
- support vector
- artificial intelligence
- gaussian processes
- component analysis
- neural network
- gaussian kernel
- kernel regression
- sparse kernel
- partial least squares regression
- linear combination
- kernel pca
- kernel density estimation
- kernel machines
- search engine