Using diversity measures for generating error-correcting output codes in classifier ensembles.
Ludmila I. KunchevaPublished in: Pattern Recognit. Lett. (2005)
Keyphrases
- diversity measures
- classifier ensemble
- base classifiers
- multi class
- ensemble methods
- majority voting
- naive bayes
- named entity recognition
- decision trees
- training set
- ensemble classifier
- fusion framework
- ensemble learning
- classification models
- classification algorithm
- machine learning
- data sets
- training samples
- test data
- data fusion
- prediction accuracy
- pairwise
- bayesian networks