An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments.
Ricardo ÑanculefErick LópezHéctor AllendeHéctor Allende-CidPublished in: CIARP (2011)
Keyphrases
- ensemble methods
- decision trees
- machine learning methods
- generalization ability
- benchmark datasets
- non stationary
- classifier ensemble
- classification models
- prediction accuracy
- random forests
- ensemble learning
- ensemble classifier
- support vector machine
- random forest
- classification algorithm
- pattern recognition
- machine learning
- class imbalance
- class labels
- feature selection
- multilabel classification
- base learners
- feature subset
- support vector machine svm
- image classification
- feature set
- classification accuracy
- learning algorithm
- machine learning algorithms
- training set
- feature space
- training data