Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry.
Stefan KlusPatrick GelßFeliks NüskeFrank NoéPublished in: Mach. Learn. Sci. Technol. (2021)
Keyphrases
- learning problems
- kernel methods
- learning machines
- multiple kernel learning
- quantum mechanics
- learning tasks
- kernel based learning
- binary classification
- reproducing kernel hilbert space
- kernel function
- sample complexity
- machine learning
- machine learning algorithms
- supervised learning
- learning algorithm
- kernel machines
- generalization bounds
- semi supervised learning
- support vector machine
- support vector
- multi task
- reinforcement learning
- computational learning theory
- kernel learning
- pac learning
- feature space
- learning models
- statistical learning theory
- convex optimization problems
- learning experience
- structured sparsity
- training data
- kernel matrix
- probabilistic model
- vc dimension
- multi task learning
- linear combination