Resampling vs Reweighting in Boosting a Relational Weak Learner.
Marco BottaPublished in: AI*IA (2001)
Keyphrases
- weak learners
- ensemble learning
- multi class classification
- generalization ability
- boosting algorithms
- ensemble methods
- linear classifiers
- generalization error
- adaboost algorithm
- base classifiers
- random forest
- weak hypotheses
- decision trees
- feature selection
- data sets
- unlabeled data
- multi class
- weak classifiers
- learning algorithm
- binary classification problems
- concept drift
- ensemble classifier
- test data
- machine learning