Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers.
Francesco ToninPanagiotis PatrinosJohan A. K. SuykensPublished in: CoRR (2023)
Keyphrases
- kernel machines
- support vector
- convex combinations
- decision stumps
- kernel function
- learning machines
- multiple kernel learning
- support vector machine
- semi supervised
- svm classifier
- kernel methods
- loss function
- semi supervised learning
- cross validation
- feature selection
- training examples
- classification accuracy
- generalization bounds
- training data
- learning tasks
- hyperplane
- support vector regression
- binary classification
- learning scheme
- support vectors
- reproducing kernel hilbert space
- feature space