An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data.
Kuo-Wei HsuJaideep SrivastavaPublished in: PAKDD Workshops (2009)
Keyphrases
- ensemble learning
- decision trees
- weighted voting
- training data
- classifier ensemble
- ensemble classifier
- diversity measures
- support vector
- training set
- combining classifiers
- naive bayes
- multiple classifier systems
- ensemble methods
- majority voting
- feature selection
- ensemble members
- machine learning algorithms
- individual classifiers
- classification models
- classification rate
- imbalanced data
- random forest
- data sets
- classification algorithm
- test set
- training samples
- random forests
- machine learning methods
- multiple classifiers
- feature set
- feature space
- trained classifiers