Boolean kernels for rule based interpretation of support vector machines.
Mirko PolatoFabio AiolliPublished in: Neurocomputing (2019)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- kernel function
- kernel methods
- multi class
- support vector machine
- kernel parameters
- cross validation
- multiple kernel learning
- generalization bounds
- data driven
- logistic regression
- soft margin
- polynomial kernels
- rbf kernel
- feature selection
- learning algorithm
- svm classification
- image interpretation
- real valued
- radial basis function
- classification accuracy
- expert systems
- svm classifier
- loss function
- kernel machines
- maximum margin
- high level
- support vector classification
- rule based systems
- support vectors
- boolean functions
- generalization ability
- training examples
- vc dimension
- ls svm
- binary classification
- semantic interpretation
- linear svm
- gaussian kernels
- hyperplane
- input space
- model selection
- machine learning