BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification.
Thiago SallesMarcos André GonçalvesVictor RodriguesLeonardo RochaPublished in: SIGIR (2015)
Keyphrases
- random forests
- automated classification
- ensemble methods
- decision tree ensembles
- randomized trees
- random forest
- accurate classifiers
- classification and regression trees
- decision trees
- machine learning algorithms
- logistic regression
- head pose estimation
- benchmark datasets
- supervised learning
- tree ensembles
- neural network
- training examples
- genetic programming
- support vector machine
- artificial neural networks
- image processing
- feature selection