Comparing Pure Parallel Ensemble Creation Techniques Against Bagging.
Lawrence O. HallKevin W. BowyerRobert E. BanfieldDivya BhadoriaW. Philip KegelmeyerSteven EschrichPublished in: ICDM (2003)
Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- random forests
- ensemble members
- random forest
- ensemble selection
- ensemble classification
- majority voting
- ensemble classifier
- training set
- imbalanced data
- classifier ensemble
- decision trees
- randomized trees
- decision tree ensembles
- class label noise
- prediction accuracy
- parallel processing
- benchmark datasets
- base learners
- machine learning
- neural network
- parallel computing
- machine learning methods
- learning algorithm
- weak classifiers
- weighted voting
- support vector machine
- tree ensembles
- distributed memory
- selection strategy
- weak learners
- shared memory
- decision tree classifiers
- generalization ability
- feature selection
- neural network ensembles