PAC-Bayes bounds for twin support vector machines.
Xijiong XieShiliang SunPublished in: Neurocomputing (2017)
Keyphrases
- pac bayes
- support vector
- generalization bounds
- learning machines
- generalization ability
- risk bounds
- linear classifiers
- vc dimension
- hyperplane
- support vector machine
- large deviations
- data dependent
- svm classifier
- learning algorithm
- cross validation
- empirical risk minimization
- model selection
- feature selection
- kernel methods
- loss function
- uniform convergence
- hyperparameters
- binary classification
- kernel function
- kernel machines
- learning theory
- learning problems
- theoretical framework