An incremental learning algorithm for Lagrangian support vector machines.
Hua DuanXiaojian ShaoWeizhen HouGuoping HeQingtian ZengPublished in: Pattern Recognit. Lett. (2009)
Keyphrases
- incremental learning algorithm
- hyperplane
- support vector
- learning machines
- incremental learning
- large margin classifiers
- maximum margin
- support vector machine
- learning algorithm
- kernel function
- svm classifier
- feature space
- training samples
- data points
- convex hull
- generalization ability
- radial basis function
- cross validation
- multi class
- principal components
- feature selection
- decision function
- support vectors
- classification accuracy
- logistic regression
- kernel methods
- pattern recognition
- loss function
- support vector regression
- optimal solution
- soft margin
- high dimensional data
- neural network