Feature-subspace aggregating: ensembles for stable and unstable learners.
Kai Ming TingJonathan R. WellsSwee Chuan TanShyh Wei TengGeoffrey I. WebbPublished in: Mach. Learn. (2011)
Keyphrases
- feature subspace
- base learners
- ensemble methods
- ensemble learning
- random forests
- learning scheme
- meta learning
- decision trees
- base classifiers
- classification algorithm
- cost sensitive
- learning tasks
- loss function
- regression problems
- generalization ability
- training data
- prediction accuracy
- benchmark datasets
- learning algorithm
- feature selection
- cross validation
- machine learning methods
- learning environment
- random forest
- feature space
- e learning
- high dimensional feature space
- pairwise
- multi class
- classification models
- semi supervised
- image space
- training process
- pattern recognition
- learning experience
- low dimensional
- learning process
- feature representation
- machine learning algorithms
- weak classifiers
- class labels
- dimension reduction