Prior Knowledge in Support Vector Kernels.
Bernhard SchölkopfPatrice Y. SimardAlexander J. SmolaVladimir VapnikPublished in: NIPS (1997)
Keyphrases
- support vector
- prior knowledge
- kernel function
- kernel methods
- rbf kernel
- polynomial kernels
- logistic regression
- support vector machine
- classification accuracy
- feature selection
- radial basis function
- cross validation
- kernel parameters
- domain knowledge
- prior information
- binary classification
- margin maximization
- loss function
- large margin classifiers
- svm classification
- support vectors
- support vector regression
- generalization ability
- incorporation of prior knowledge
- kernel machines
- svm classifier
- input space
- shape prior
- latent variables
- positive definite
- feature space
- multiple kernel learning
- linear discriminant analysis
- high dimensional
- decision function
- training data
- learning algorithm
- multi class
- labeled data
- training examples