Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation.
Antoine VeillardDaniel RacoceanuStéphane BressanPublished in: ICTAI (2011)
Keyphrases
- incorporating prior knowledge
- support vector
- large margin classifiers
- learning machines
- kernel function
- kernel methods
- prior knowledge
- sparse kernel
- kernel parameters
- rbf kernel
- support vector machine
- support vectors
- logistic regression
- kernel machines
- classification accuracy
- cross validation
- svm classifier
- decision function
- multiple kernel learning
- maximum margin
- polynomial kernels
- multi class
- binary classification
- kernel learning
- loss function
- hyperplane
- linear discriminant analysis
- radial basis function
- training examples
- kernel matrix
- svm classification
- kernel pca
- reproducing kernel hilbert space
- support vector regression
- semi supervised
- kernel classifiers
- knn
- standard svm
- generalization bounds
- positive definite
- generalization ability