Hybrid and Ensemble Methods in Machine Learning.
Przemyslaw KazienkoEdwin LughoferBogdan TrawinskiPublished in: J. Univers. Comput. Sci. (2013)
Keyphrases
- ensemble methods
- machine learning methods
- machine learning
- decision trees
- prediction accuracy
- benchmark datasets
- random forests
- base classifiers
- machine learning algorithms
- drifting concepts
- ensemble learning
- decision tree learning
- bias variance analysis
- majority voting
- random forest
- learning algorithm
- generalization ability
- multiple models
- bootstrap sampling
- decision tree ensembles
- classifier ensemble
- ensemble feature selection
- pattern recognition
- learning problems
- learning tasks
- trade off
- feature selection
- base learners
- neural network
- active learning
- semi supervised learning
- model selection