Physics-informed machine learning as a kernel method.
Nathan DoumècheFrancis BachClaire BoyerGérard BiauPublished in: CoRR (2024)
Keyphrases
- kernel methods
- machine learning
- learning problems
- computer science
- support vector machine
- learning tasks
- kernel function
- feature space
- support vector
- reproducing kernel hilbert space
- kernel matrix
- machine learning algorithms
- text classification
- information extraction
- decision trees
- model selection
- reproducing kernel
- supervised learning
- classification accuracy
- training set
- training data
- feature selection