Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces.
Mojmír MutnýAndreas KrausePublished in: CoRR (2022)
Keyphrases
- experimental design
- reproducing kernel hilbert space
- special case
- hilbert space
- active learning
- empirical studies
- linear model
- loss function
- sample size
- kernel function
- kernel methods
- learning theory
- feature selection
- gaussian process
- euclidean space
- class imbalance
- density estimation
- real valued
- feature vectors
- data mining