Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification.
Xiaowei GuPlamen P. AngelovPublished in: IEEE Trans. Fuzzy Syst. (2022)
Keyphrases
- multi class
- multiclass classification
- binary classification problems
- base classifiers
- cost sensitive
- fuzzy inference
- feature selection
- multi class boosting
- support vector machine
- cost sensitive classification
- multi class classification
- binary classifiers
- multiclass problems
- binary classification
- multiple classes
- ensemble classifier
- ensemble methods
- multiclass support vector machines
- ensemble learning
- boosting algorithms
- neural network
- error correcting output codes
- generalization ability
- classification accuracy
- expert systems
- decision trees
- majority voting
- learning algorithm
- base learners
- classification algorithm
- pairwise
- machine learning
- fuzzy inference system
- decision rules
- fuzzy logic
- feature vectors
- feature space
- pattern recognition
- training data
- fuzzy neural network
- neuro fuzzy
- fuzzy rules
- class labels
- fuzzy sets
- supervised learning
- semi supervised
- artificial neural networks
- training set
- support vector