A Boosting-like Online Learning Ensemble.
Roberto Souto Maior de BarrosSilas Garrido Teixeira de Carvalho SantosPaulo Mauricio Gonçalves JúniorPublished in: IJCNN (2016)
Keyphrases
- online learning
- ensemble learning
- ensemble methods
- weak learners
- base classifiers
- ensemble classification
- ensemble classifier
- weak classifiers
- base learners
- random forests
- decision tree ensembles
- computer mediated
- randomized trees
- e learning
- prediction accuracy
- decision trees
- random forest
- generalization ability
- distance education
- classifier ensemble
- online course
- higher education
- learning algorithm
- blended learning
- neural network
- multiple classifier systems
- weighted voting
- strong classifier
- feature selection
- boosting algorithms
- generalization error
- majority voting
- classroom learning
- multi class
- active learning
- multi class classification
- distance learning
- pruning algorithm
- machine learning methods
- naive bayes
- negative correlation learning
- combining multiple
- binary classification
- adaboost algorithm
- loss function
- benchmark datasets
- online learning environments