Sample selection via clustering to construct support vector-like classifiers.
Abdelouahid LyhyaouiManel Martínez-RamónInma MoraMaryan VaquezJosé-Luis SanchoAníbal R. Figueiras-VidalPublished in: IEEE Trans. Neural Networks (1999)
Keyphrases
- support vector
- sample selection
- svm classifier
- training data
- support vector machine
- svm classification
- active learning
- training examples
- clustering algorithm
- feature selection
- logistic regression
- kernel function
- cross validation
- training set
- naive bayes
- kernel methods
- classification accuracy
- neural network
- machine learning algorithms
- data sets
- support vector machine svm
- cluster analysis
- e learning
- hyperplane
- generalization ability
- multi class classification
- machine learning