Physics-informed machine learning as a kernel method.
Nathan DoumècheFrancis BachGérard BiauClaire BoyerPublished in: COLT (2024)
Keyphrases
- kernel methods
- machine learning
- learning problems
- computer science
- kernel function
- learning tasks
- kernel matrix
- support vector
- support vector machine
- feature space
- decision trees
- active learning
- reproducing kernel hilbert space
- learning algorithm
- supervised learning
- model selection
- machine learning algorithms
- information extraction
- semi supervised learning
- reinforcement learning
- feature selection
- computer vision
- data mining
- data sets