Improving Supervised Learning Classification Methods Using Multigranular Linguistic Modeling and Fuzzy Entropy.
Juan Antonio Morente-MolineraJózsef MezeiChrister CarlssonEnrique Herrera-ViedmaPublished in: IEEE Trans. Fuzzy Syst. (2017)
Keyphrases
- supervised learning
- preprocessing
- classification method
- supervised machine learning
- classification accuracy
- machine learning methods
- benchmark datasets
- classification systems
- unsupervised learning
- fuzzy entropy
- supervised and unsupervised learning
- accurate classification
- supervised classification
- class labels
- pattern recognition
- cross validation
- training samples
- image classification
- benchmark data sets
- support vector machine
- multiple instance learning
- support vector
- machine learning
- real world
- neural network