A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture.
Hossam FarisMohammad A. HassonahAla' M. Al-ZoubiSeyedali MirjaliliIbrahim AljarahPublished in: Neural Comput. Appl. (2018)
Keyphrases
- feature selection
- support vector
- support vector machine
- multi class
- parameter tuning
- knn
- feature space
- maximum likelihood
- optimal parameters
- support vector machine svm
- text categorization
- generalization ability
- machine learning
- classification accuracy
- mutual information
- small sample
- model selection
- selected features
- feature extraction
- feature selection algorithms
- classification models
- simultaneous optimization
- radial basis function
- feature ranking
- bayes classifier
- real time
- kernel methods
- classification method
- svm classifier
- kernel function
- naive bayes
- k nearest neighbor
- text classification
- dimensionality reduction
- feature vectors
- training set
- training data