Keyphrases
- gradient boosting
- early stopping
- kernel ridge regression
- kernel machines
- feature selection
- ensemble methods
- weak learners
- adaboost algorithm
- weak classifiers
- data dependent
- learning algorithm
- regularization methods
- regularization framework
- inverse problems
- reproducing kernel hilbert space
- regularization term
- ensemble learning
- image segmentation
- regularization parameter
- base classifiers
- prior information
- regularization method
- active learning
- empirical risk minimization
- decision trees
- machine learning
- projection operator