Ho-Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers - An Application.
Fabien LauerMohamed BentoumiGérard BlochGilles MilleriouxPatrice AkninPublished in: ISNN (1) (2004)
Keyphrases
- linear classifiers
- boosting algorithms
- multi class
- hyperplane
- svm classifier
- support vector
- support vector machine
- generalization error
- decision boundary
- support vector machine svm
- binary classification
- support vectors
- hyperparameters
- training data
- loss function
- training set
- kernel function
- image classification
- cost sensitive
- learning algorithm
- upper bound
- generalization ability
- multi task
- stochastic gradient descent
- convex hull
- feature space
- cross validation
- training samples
- feature vectors
- input space
- base classifiers
- principal components
- kernel methods
- sample size
- model selection
- pairwise