On the Potential of the Nature-Inspired Algorithms for Pure Binary Classification.
Iztok Fister Jr.Iztok FisterDusan FisterGrega VrbancicVili PodgorelecPublished in: ICCS (5) (2020)
Keyphrases
- binary classification
- multi class
- support vector
- nature inspired algorithms
- learning problems
- cost sensitive
- multi label
- generalization error
- support vector machine
- prediction accuracy
- class imbalance
- evolutionary computation
- ensemble methods
- machine learning
- computational intelligence
- ant colony optimization
- kernel methods