Quantum machine learning beyond kernel methods.
Sofiène JerbiLukas J. FidererHendrik Poulsen NautrupJonas M. KüblerHans J. BriegelVedran DunjkoPublished in: CoRR (2021)
Keyphrases
- kernel methods
- machine learning
- learning problems
- support vector machine
- kernel function
- learning tasks
- support vector
- feature space
- reproducing kernel hilbert space
- feature selection
- graph kernels
- data mining
- computer vision
- kernel matrices
- multiple kernel
- multiple kernel learning
- semi supervised learning
- active learning
- model selection
- kernel pca
- decision trees
- learning frameworks
- kernel matrix
- high dimensional feature space
- kernel principal component analysis
- learning algorithm