Boosting ensembles with controlled emphasis intensity.
Anas AhachadLorena Álvarez-PérezAníbal R. Figueiras-VidalPublished in: Pattern Recognit. Lett. (2017)
Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- decision tree ensembles
- base learners
- multiple classifier systems
- random forests
- ensemble classifier
- decision stumps
- weighted voting
- learning algorithm
- decision trees
- random forest
- weak learners
- image intensity
- feature selection
- learning scheme
- benchmark datasets
- prediction accuracy
- artificial neural networks
- machine learning
- boosting framework
- randomized trees
- boosting algorithms
- neural network
- classifier ensemble
- regression trees
- cost sensitive
- face detection
- image segmentation
- negative correlation learning