Structural risk minimization for quantum linear classifiers.
Casper GyurikDyon van VreumingenVedran DunjkoPublished in: CoRR (2021)
Keyphrases
- linear classifiers
- structural risk minimization
- empirical risk minimization
- support vector
- generalization bounds
- hyperplane
- svm classifier
- multi class
- support vector machine
- support vector regression
- hyperparameters
- generalization error
- uniform convergence
- cross validation
- training set
- model selection
- generative model
- loss function
- machine learning
- kernel methods
- active learning
- training data
- learning algorithm