Using a classifier ensemble for proactive quality monitoring and control: The impact of the choice of classifiers types, selection criterion, and fusion process.
Philippe ThomasHind Bril El HaouziMarie-Christine SuhnerAndré ThomasEmmanuel ZimmermannMélanie NoyelPublished in: Comput. Ind. (2018)
Keyphrases
- classifier ensemble
- selection criterion
- fusion process
- model selection
- ensemble classifier
- fusion method
- ensemble methods
- named entity recognition
- classification algorithm
- decision trees
- data fusion
- image fusion
- base classifiers
- feature selection
- mutual information
- objective function
- feature selection algorithms
- feature subset
- ensemble learning
- information extraction
- data sets
- support vector machine
- fusion methods
- multiscale
- computer vision