A GA-based feature selection and parameters optimizationfor support vector machines.
Cheng-Lung HuangChieh-Jen WangPublished in: Expert Syst. Appl. (2006)
Keyphrases
- support vector
- feature selection
- learning machines
- classification accuracy
- support vector machine
- hyperparameters
- kernel parameters
- logistic regression
- machine learning
- feature space
- parameter values
- genetic algorithm ga
- text categorization
- maximum likelihood
- parameter settings
- radial basis function
- feature ranking
- large margin classifiers
- genetic algorithm
- feature weighting
- kernel function
- text classification
- high dimensionality
- feature set
- parameter space
- feature extraction
- support vector regression
- support vector classification
- maximum margin
- neural network
- support vectors
- multi task
- generalization ability
- hyperplane
- cross validation
- expectation maximization
- simulated annealing
- mutual information
- multi class
- knn