Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers.
Abraham J. WynerMatthew OlsonJustin BleichDavid MeasePublished in: CoRR (2015)
Keyphrases
- random forests
- decision trees
- ensemble methods
- base learners
- majority voting
- decision tree ensembles
- accurate classifiers
- machine learning algorithms
- randomized trees
- random forest
- ensemble learning
- training data
- classifier ensemble
- logistic regression
- naive bayes
- ensemble classifier
- support vector
- learning algorithm
- base classifiers
- machine learning methods
- classification trees
- tree ensembles
- benchmark datasets
- prediction accuracy
- boosting algorithms
- weak classifiers
- training set
- face detection
- feature set
- adaboost algorithm
- decision forest
- subspace methods
- object detection
- multi class
- feature selection
- regression forests
- test set
- classification algorithm