Kernel methods in Quantum Machine Learning.
Riccardo MengoniAlessandra Di PierroPublished in: Quantum Mach. Intell. (2019)
Keyphrases
- kernel methods
- machine learning
- learning problems
- learning tasks
- support vector
- support vector machine
- kernel function
- pattern recognition
- reproducing kernel hilbert space
- kernel matrix
- multiple kernel
- kernel pca
- feature space
- active learning
- multiple kernel learning
- machine learning algorithms
- computer vision
- learning algorithm
- text classification
- feature selection
- learning frameworks
- kernel fisher discriminant analysis
- data mining
- positive semidefinite
- kernel ridge regression
- semi supervised learning
- semi supervised
- information extraction
- kernel trick
- reproducing kernel