Dynamic Classifier Selection Based on Imprecise Probabilities: A Case Study for the Naive Bayes Classifier.
Meizhu LiJasper De BockGert de CoomanPublished in: SMPS (2018)
Keyphrases
- imprecise probabilities
- dynamic classifier selection
- bayesian networks
- naive bayes
- probability theory
- multiple classifier systems
- information processing
- handling uncertainty
- multicriteria decision making
- belief functions
- probability distribution
- rough sets
- recent advances
- intuitionistic fuzzy sets
- pattern recognition
- multi class
- graphical models
- knowledge base
- similarity measure
- image segmentation