Improving classification performance of support vector machines via guided custom kernel search.
Kumar AyushAbhishek SinhaPublished in: GECCO (Companion) (2019)
Keyphrases
- support vector
- large margin classifiers
- kernel function
- classification accuracy
- learning machines
- support vector machine
- svm classifier
- cross validation
- kernel methods
- feature selection
- svm classification
- kernel parameters
- generalization ability
- feature space
- support vector machine svm
- rbf kernel
- loss function
- kernel machines
- binary classification
- kernel logistic regression
- radial basis function
- search algorithm
- multi class classification
- feature vectors
- machine learning
- decision function
- kernel fisher discriminant
- logistic regression
- decision trees
- domain specific
- multi class
- polynomial kernels
- pattern recognition
- training set
- string kernels
- search space
- standard svm
- positive definite
- maximum margin
- multiple kernel learning
- support vectors
- support vector regression
- hyperplane