Enhancing quantum support vector machines through variational kernel training.
Nouhaila InnanMuhammad Al-Zafar KhanBiswaranjan PandaMohamed BennaiPublished in: Quantum Inf. Process. (2023)
Keyphrases
- support vector
- learning machines
- kernel function
- large margin classifiers
- kernel methods
- training examples
- linear svm
- kernel parameters
- kernel machines
- training algorithm
- support vector machine
- logistic regression
- svm classifier
- sparse kernel
- cross validation
- loss function
- polynomial kernels
- radial basis function
- binary classification
- support vector regression
- decision function
- support vectors
- image segmentation
- training process
- classification accuracy
- feature space
- hyperplane
- model selection
- rbf kernel
- quantum inspired
- feature selection
- generalization ability
- linear discriminant analysis
- kernel matrix
- maximum margin
- training samples
- positive definite
- multi class
- high dimensional