Turning majority voting classifiers into a single decision tree.
Yasuhiro AkibaShigeo KanedaHussein AlmuallimPublished in: ICTAI (1998)
Keyphrases
- majority voting
- decision trees
- ensemble methods
- ensemble classifier
- classifier fusion
- uci benchmark data
- weighted voting
- combining classifiers
- classifier ensemble
- binary classification problems
- knn
- naive bayes
- machine learning algorithms
- machine learning
- multiple classifier systems
- k nearest neighbor
- base classifiers
- individual classifiers
- random forests
- support vector machine
- support vector
- training data
- machine learning methods
- logistic regression
- binary classification
- training set
- prediction accuracy
- data sets
- random forest