Towards parameter-less support vector machines.
Jakub NalepaKrzysztof SiminskiMichal KawulokPublished in: ACPR (2015)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- kernel parameters
- kernel function
- hyperplane
- cross validation
- loss function
- generalization ability
- logistic regression
- support vector machine
- feature selection
- classification accuracy
- kernel methods
- binary classification
- parameter values
- support vectors
- ensemble learning
- kernel machines
- parameter space
- support vector regression
- radial basis function
- linear discriminant analysis
- svm classifier
- data sets
- parameter tuning
- machine intelligence
- optimal parameters
- information systems
- artificial intelligence
- working set
- information retrieval