Review and performance comparison of SVM- and ELM-based classifiers.
Jan ChorowskiJian WangJacek M. ZuradaPublished in: Neurocomputing (2014)
Keyphrases
- support vector
- svm classifier
- extreme learning machine
- training data
- support vector machine svm
- support vector machine classifiers
- feature selection
- training set
- support vector machine
- classification algorithm
- improves the classification accuracy
- confusion matrices
- classification method
- ensemble classifier
- machine learning algorithms
- support vector regression
- svm classification
- decision boundary
- linear classifiers
- bayes classifier
- rule based classifier
- feature space
- machine learning
- linear svm
- feature vectors
- knn
- support vectors
- multiple kernel learning
- unbalanced data
- image classification
- linear support vector machines
- train a support vector machine
- extreme learning machines
- small sample
- fold cross validation
- generalization ability
- hyperplane
- cross validation
- logistic regression
- kernel function
- training examples
- text classifiers
- bayesian classifiers
- high classification accuracy
- highest accuracy
- naive bayes
- feature set
- multi class
- decision trees