Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification.
Jui-Sheng ChouMin-Yuan ChengYu-Wei WuAnh-Duc PhamPublished in: Expert Syst. Appl. (2014)
Keyphrases
- support vector machine
- support vector machine svm
- svm classifier
- classification algorithm
- support vector
- classification method
- feature selection
- feature vectors
- decision boundary
- multi class
- pattern recognition
- classification accuracy
- k nearest neighbor
- svm classification
- automatic classification
- high classification accuracy
- multi class support vector machines
- machine learning
- training set
- maximum likelihood
- training data
- classification scheme
- decision rules
- optimal parameters
- benchmark datasets
- decision trees
- classification models
- preprocessing
- training samples
- hyperplane
- small sample
- bayesian methods
- parameter settings
- multi class support vector machine
- neural network
- generalization ability
- parameter values
- cost sensitive
- machine learning methods
- knn
- supervised learning
- class labels
- machine learning algorithms
- expectation maximization