Local Boosting of Decision Stumps for Regression and Classification Problems.
Sotiris B. KotsiantisDimitris KanellopoulosPanayiotis E. PintelasPublished in: J. Comput. (2006)
Keyphrases
- decision stumps
- base learners
- ensemble methods
- regression problems
- decision forest
- ensemble learning
- kernel machines
- regression model
- weak classifiers
- selection algorithm
- learning algorithm
- ensemble classifier
- random forests
- base classifiers
- decision trees
- model selection
- linear regression
- generalization bounds
- imbalanced data
- learning scheme
- logistic regression
- support vector machine
- classification algorithm
- meta learning
- cost sensitive
- loss function
- cross validation
- prediction accuracy
- support vector
- machine learning
- learning tasks
- multi task
- learning problems
- reproducing kernel hilbert space
- multi class
- support vector regression