BERT: Melhorando Classificação de Texto com Árvores Extremamente Aleatórias, Bagging e Boosting.
Raphael R. CamposMarcos André GonçalvesPublished in: SBBD (2016)
Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- ensemble classification
- randomized trees
- gradient boosting
- weak classifiers
- rotation forest
- decision stumps
- random forest
- ensemble classifier
- base learners
- decision trees
- majority voting
- generalization ability
- benchmark datasets
- decision tree ensembles
- random forests
- prediction accuracy
- tree induction
- weak learners
- negative correlation learning
- multi class
- variance reduction
- machine learning methods
- training set
- ensemble members
- imbalanced data
- machine learning
- cost sensitive
- feature selection
- weighted voting
- feature set
- linear combination
- object detection
- training samples
- knn
- loss function
- test data
- voting methods
- learning algorithm
- learning machines