Fixed-size ensemble classifier system evolutionarily adapted to a recurring context with an unlimited pool of classifiers.
Konrad JackowskiPublished in: Pattern Anal. Appl. (2014)
Keyphrases
- fixed size
- variable size
- ensemble learning
- sliding window
- training data
- classifier ensemble
- multiple classifiers
- training set
- ensemble classifier
- weak classifiers
- final classification
- ensemble pruning
- window size
- majority voting
- active learning
- classification models
- data stream classification
- support vector
- model selection
- feature selection
- ensemble methods
- training samples
- object recognition
- multiple classifier systems
- decision tree classifiers
- multiscale
- naive bayes
- randomized trees