Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection.
Alberto FernándezMikel GalarJosé Antonio SanzHumberto BustinceFrancisco HerreraPublished in: IFSA-EUSFLAT (2015)
Keyphrases
- classification systems
- pairwise
- supervised learning
- dynamic classifier selection
- multiple classifier systems
- learning algorithm
- feature space
- training set
- label ranking
- feature vectors
- classification accuracy
- text classification
- classification algorithm
- machine learning
- support vector
- learning problems
- machine learning methods
- loss function
- gray level
- image classification
- feature selection
- active learning
- feature extraction
- pattern recognition