The generalization error of the symmetric and scaled support vector machines.
Jianfeng FengPeter WilliamsPublished in: IEEE Trans. Neural Networks (2001)
Keyphrases
- generalization error
- learning machines
- support vector
- cross validation
- binary classification
- large margin classifiers
- model selection
- soft margin
- active learning
- upper bound
- learning algorithm
- maximum margin
- training data
- classification error
- sample complexity
- training set
- linear classifiers
- training error
- uniform convergence
- sample size
- supervised learning
- support vector machine
- generalization error bounds
- target function
- perceptron learning
- subspace information criterion
- feature selection
- loss function
- learning process
- vc dimension
- weak classifiers
- base classifiers
- back propagation
- classification accuracy