A hybrid meta-learning architecture for multi-objective optimization of SVM parameters.
Péricles B. C. de MirandaRicardo B. C. PrudêncioAndré C. P. L. F. de CarvalhoCarlos SoaresPublished in: Neurocomputing (2014)
Keyphrases
- multi objective optimization
- meta learning
- multi objective
- evolutionary algorithm
- learning tasks
- feature selection
- inductive learning
- support vector machine svm
- model selection
- multi objective optimization problems
- differential evolution
- genetic algorithm
- support vector
- pareto optimal
- machine learning
- decision trees
- support vector machine
- machine learning algorithms
- nsga ii
- data mining
- optimization algorithm
- knn
- particle swarm optimization
- multi objective evolutionary algorithms
- software architecture
- k nearest neighbor
- training set
- objective function
- training data
- e learning
- data sets