Structural risk minimization for quantum linear classifiers.
Casper GyurikDyon van VreumingenVedran DunjkoPublished in: Quantum (2023)
Keyphrases
- linear classifiers
- structural risk minimization
- empirical risk minimization
- generalization bounds
- support vector
- hyperplane
- svm classifier
- multi class
- hyperparameters
- support vector regression
- support vector machine
- uniform convergence
- generalization error
- principal components
- multi task
- statistical learning theory
- kernel function
- incremental learning