Handling Non-linear Relations in Support Vector Machines through Hyperplane Folding.
Lars LundbergHåkan LennerstadVeselka BoevaEva García-MartínPublished in: ICMLC (2019)
Keyphrases
- hyperplane
- support vector
- learning machines
- large margin classifiers
- maximum margin
- support vector machine
- kernel function
- feature space
- maximal margin
- svm classifier
- linear classifiers
- training samples
- support vectors
- input space
- principal components
- incremental learning algorithm
- feature selection
- normal vectors
- linearly separable
- convex hull
- logistic regression
- cross validation
- classification accuracy
- data points
- feature extraction
- neural network
- principal direction
- linear separability
- radial basis function
- kernel methods
- image classification
- image processing