Use of ensemble methods for indirect test of RF circuits: can it bring benefits?
Hassan El BadawiFlorence AzaïsSerge BernardMariane ComteVincent KerzerhoFrancois LefevrePublished in: LATS (2019)
Keyphrases
- ensemble methods
- prediction accuracy
- random forests
- ensemble learning
- decision trees
- benchmark datasets
- machine learning methods
- base classifiers
- bootstrap sampling
- drifting concepts
- random forest
- generalization ability
- majority voting
- imbalanced data
- ensemble feature selection
- bias variance analysis
- multiple models
- base learners
- classifier ensemble