An Empirical Study of Bagging Predictors for Different Learning Algorithms.
Guohua LiangXingquan ZhuChengqi ZhangPublished in: AAAI (2011)
Keyphrases
- learning algorithm
- base learners
- machine learning
- ensemble methods
- generalization error
- decision trees
- learning machines
- machine learning algorithms
- decision tree learning
- ensemble learning
- learning problems
- random forests
- training data
- bias variance analysis
- meta learning
- learning scheme
- active learning
- learning tasks
- imbalanced data
- random forest
- decision stumps
- learning rate
- generalization ability
- back propagation
- ensemble selection
- training set
- sample complexity
- training samples
- supervised learning
- support vector machine
- base classifiers
- loss function
- query performance prediction
- classification algorithm
- accurate classifiers
- voting methods
- neural network
- transfer learning
- ensemble members
- learning process
- model selection
- machine learning methods