A Normative Examination of Ensemble Learning Algorithms.
David M. PennockPedrito Maynard-Reid IIC. Lee GilesEric HorvitzPublished in: ICML (2000)
Keyphrases
- learning algorithm
- training data
- machine learning algorithms
- drifting concepts
- ensemble learning
- ensemble methods
- machine learning
- supervised learning
- multi agent systems
- learning scheme
- base classifiers
- learning tasks
- random forests
- learning models
- active learning
- neural network
- ensemble members
- decision tree learning
- base learners
- concept drift
- generalization ability
- data streams
- sample complexity
- learning machines
- ensemble classifier
- efficient learning
- training examples
- accurate classifiers
- unlabeled data
- random forest
- reinforcement learning
- learning problems
- back propagation
- learning process