Ensemble Methods for Noise Elimination in Classification Problems.
Sofie VerbaetenAnneleen Van AsschePublished in: Multiple Classifier Systems (2003)
Keyphrases
- ensemble methods
- noise elimination
- prediction accuracy
- random forests
- machine learning methods
- benchmark datasets
- decision trees
- edge detection
- mathematical morphology
- ensemble learning
- base classifiers
- random forest
- majority voting
- generalization ability
- bootstrap sampling
- drifting concepts
- classifier ensemble
- ensemble feature selection
- iris segmentation
- base learners
- binary images
- artificial neural networks
- machine learning
- decision tree ensembles
- recognition process
- feature subset
- genetic algorithm ga
- gray scale
- image analysis
- computer vision