Fine-tuning of support vector machine parameters using racing algorithms.
Péricles B. C. de MirandaPaulo Ricardo da Silva SoaresRicardo B. C. PrudêncioPublished in: ESANN (2014)
Keyphrases
- fine tuning
- support vector machine
- orders of magnitude
- learning algorithm
- parameter settings
- general purpose
- genetic algorithm
- data structure
- machine learning algorithms
- theoretical analysis
- computational cost
- parameter optimization
- parameter tuning
- benchmark datasets
- maximum likelihood
- data sets
- significant improvement
- feature vectors
- bayesian networks
- image segmentation
- decision trees
- feature selection
- data mining