Enhancing Quantum Support Vector Machines through Variational Kernel Training.
Nouhaila InnanMuhammad Al-Zafar KhanBiswaranjan PandaMohamed BennaiPublished in: CoRR (2023)
Keyphrases
- support vector
- learning machines
- kernel function
- large margin classifiers
- kernel methods
- training examples
- kernel machines
- cross validation
- linear svm
- support vectors
- sparse kernel
- kernel parameters
- training process
- kernel matrix
- standard svm
- radial basis function
- image segmentation
- support vector machine
- svm classifier
- multi class
- feature selection
- rbf kernel
- classification accuracy
- training algorithm
- logistic regression
- support vector regression
- learning problems
- hyperplane
- ensemble learning
- positive definite
- feature space
- polynomial kernels
- training set
- decision function
- string kernels
- loss function
- svm classification
- maximum margin
- generalization ability
- model selection
- binary classification
- optical flow
- supervised learning
- training samples