Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey.
Benyamin GhojoghAli GhodsiFakhri KarrayMark CrowleyPublished in: CoRR (2021)
Keyphrases
- machine learning
- kernel methods
- reproducing kernel hilbert space
- prior knowledge
- model selection
- feature selection
- decision trees
- active learning
- kernel function
- eigendecomposition
- kernel matrix
- dimensionality reduction
- support vector machine
- special case
- pairwise
- feature space
- computational complexity
- training data