Reduction of Training Data Using Parallel Hyperplane for Support Vector Machine.
Pardis BirzhandiKyung Tae KimByung Jun LeeHee Yong YounPublished in: Appl. Artif. Intell. (2019)
Keyphrases
- hyperplane
- support vector machine
- training data
- training samples
- svm classifier
- support vector
- decision boundary
- training set
- support vectors
- maximum margin
- kernel function
- multi class
- linear classifiers
- incremental learning algorithm
- data sets
- classification accuracy
- support vector machine svm
- separating hyperplane
- k nearest neighbor
- radial basis function
- maximal margin
- standard svm
- data points
- feature space
- learning algorithm
- supervised learning
- high dimensional
- feature selection
- kernel methods
- machine learning
- input space
- linearly separable
- training process
- soft margin
- training dataset
- principal components
- decision trees
- decision function
- training examples
- perceptron algorithm
- linear svm
- weight vector
- generalization error
- semi supervised learning
- labeled data
- nearest neighbor
- active learning
- data mining
- neural network