An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection.
Péricles B. C. de MirandaRicardo Bastos Cavalcante PrudêncioAndré Carlos Ponce de Leon Ferreira de CarvalhoCarlos SoaresPublished in: ICCSA (3) (2012)
Keyphrases
- parameter selection
- meta learning
- particle swarm
- model selection
- optimization methods
- support vector
- support vector machine svm
- inductive learning
- evolutionary algorithm
- machine learning algorithms
- feature selection
- learning algorithm
- decision trees
- feature space
- training set
- neural network
- optimization method
- swarm intelligence
- machine learning