Reduction of training data for support vector machine: a survey.
Pardis BirzhandiKyung Tae KimHee Yong YounPublished in: Soft Comput. (2022)
Keyphrases
- training data
- support vector machine
- training set
- data sets
- svm classifier
- support vector
- multi class
- learning algorithm
- decision trees
- training samples
- feature reduction
- support vectors
- classification accuracy
- kernel function
- training process
- test data
- training examples
- support vector machine svm
- soft margin
- feature selection
- supervised learning
- prior knowledge
- machine learning
- test set
- svm classification
- radial basis function
- small sample
- generalization ability
- generalization error
- support vector regression
- decision boundary
- training dataset
- domain knowledge
- semi supervised learning
- noisy data
- rough sets
- input data
- labeled data