Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods.
Bernard HaasdonkTizian WenzelGabriele SantinSyn SchmittPublished in: ENUMATH (2019)
Keyphrases
- kernel methods
- kernel function
- learning problems
- support vector
- feature space
- machine learning
- support vector machine
- finite element
- high dimensional feature space
- similarity function
- kernel matrix
- kernel pca
- feature selection
- multiple kernel
- learning tasks
- reproducing kernel hilbert space
- kernel parameters
- kernel ridge regression
- kernel learning
- multiple kernel learning
- dimensionality reduction
- kernel matrices