Pruning an ensemble of classifiers via reinforcement learning.
Ioannis PartalasGrigorios TsoumakasIoannis P. VlahavasPublished in: Neurocomputing (2009)
Keyphrases
- ensemble pruning
- reinforcement learning
- pruning method
- pruning algorithms
- pruning algorithm
- ensemble learning
- text categorization
- ensemble classifier
- decision tree classifiers
- function approximation
- training data
- multiple classifiers
- classifier ensemble
- training set
- randomized trees
- majority voting
- ensemble members
- final classification
- feature selection
- majority vote
- learning algorithm
- ensemble methods
- state space
- multiple classifier systems
- imbalanced data
- classification algorithm
- optimal policy
- trained classifiers
- learning problems
- individual classifiers
- decision trees
- rule induction algorithm
- accurate classifiers
- machine learning
- generalization ability
- search space
- combining classifiers
- concept drifting data streams
- prediction accuracy
- diversity measures
- ensemble classification
- supervised learning
- weighted voting
- naive bayes
- markov decision processes
- binary classification problems
- base classifiers
- learning classifier systems
- random forest