A SA-Based Feature Selection and Parameter Optimization Approach for Support Vector Machine.
Shih-Wei LinTsung-Yuan TsengShih-Chieh ChenJen-Feng HuangPublished in: SMC (2006)
Keyphrases
- parameter optimization
- support vector machine
- feature selection
- genetic algorithm ga
- simulated annealing
- svm classifier
- support vector
- genetic algorithm
- support vector machine svm
- machine learning
- feature space
- feature vectors
- differential evolution
- parameter settings
- higher order
- particle swarm optimization pso
- data sets
- training set
- optimal solution
- random sampling
- similarity measure