Parameter tuning of large scale support vector machines using ensemble learning with applications to imbalanced data sets.
Hirotaka NakayamaYeboon YunYuki UnoPublished in: SMC (2012)
Keyphrases
- ensemble learning
- parameter tuning
- learning machines
- generalization ability
- support vector
- minority class
- imbalanced data
- ensemble methods
- parameter settings
- random forest
- ensemble classifier
- learning algorithm
- concept drift
- feature selection
- benchmark datasets
- class distribution
- base classifiers
- unlabeled data
- data sets
- support vector machine svm
- model selection
- genetic programming
- simulated annealing
- support vector machine
- artificial neural networks
- genetic algorithm
- neural network