Generalized coherent states, reproducing kernels, and quantum support vector machines.
Rupak ChatterjeeTing YuPublished in: Quantum Inf. Comput. (2017)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- kernel function
- kernel methods
- hyperplane
- generalization bounds
- multi class
- polynomial kernels
- classification accuracy
- multiple kernel learning
- support vector machine
- logistic regression
- svm classification
- generalization ability
- svm classifier
- kernel parameters
- rbf kernel
- bayes rule
- kernel machines
- support vector classification
- support vectors
- binary classification
- support vector regression
- cross validation
- loss function
- training examples
- radial basis function
- margin maximization
- soft margin
- multi class classification
- maximum margin
- quantum computing
- learning algorithm
- feature selection
- neural network
- face recognition
- training data
- hidden markov models
- decision function
- image classification
- kernel learning
- linear discriminant analysis