Discriminant kernels based support vector machine.
Akinori HidakaTakio KuritaPublished in: ACPR (2011)
Keyphrases
- support vector machine
- kernel function
- kernel methods
- kernel fisher discriminant analysis
- svm classification
- support vector
- multiple kernel
- support vector machines for classification
- gaussian kernel
- feature space
- polynomial kernels
- discriminant analysis
- svm classifier
- kernel principal component analysis
- rbf kernel
- string kernels
- principal component analysis
- multi class
- support vector machine svm
- multiple kernel learning
- feature selection
- tree kernels
- positive definite
- machine learning
- decision boundary
- support vector regression
- support vectors
- data sets
- feature vectors
- knn
- small sample
- kernel learning
- hyperplane
- linear combination
- kernel matrix
- stock market prediction
- special case
- radial basis function
- gaussian kernels
- wavelet kernel
- soft margin
- decision trees
- protein classification
- discriminant features
- feature extraction
- training data
- multiscale
- relation extraction
- data points
- image classification
- learning problems