Optimal design for kernel interpolation: applications to uncertainty quantification.
Akil NarayanLiang YanTao ZhouPublished in: CoRR (2021)
Keyphrases
- optimal design
- cubic convolution
- image interpolation
- kernel function
- water supply
- component analysis
- support vector
- similarity function
- structural design
- multiple kernel learning
- expected utility
- interpolation methods
- constraint handling
- sparse kernel
- gaussian processes
- probability theory
- possibility theory
- kernel methods
- feature space
- machine learning