Non-asymptotic numerical differentiation: a kernel-based approach.
Peng LiGilberto PinGiuseppe FedeleThomas ParisiniPublished in: Int. J. Control (2018)
Keyphrases
- kernel methods
- support vector
- kernel function
- machine learning
- feature space
- asymptotically optimal
- component analysis
- numerical data
- gaussian processes
- sparse kernel
- database
- kernel space
- finite sample
- positive definite
- numerical analysis
- kernel density estimation
- sensitivity analysis
- sufficient conditions
- dimensionality reduction
- artificial neural networks
- training data
- image processing
- genetic algorithm
- data sets
- real time