Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble.
Laura Fdez-DíazJosé Ramón QuevedoElena MontañésPublished in: CoRR (2024)
Keyphrases
- ensemble learning
- base classifiers
- ensemble methods
- base learners
- feature selection
- random forest
- weak learners
- decision trees
- multi class
- optimization algorithm
- ensemble classifier
- random forests
- combining multiple
- risk minimization
- ensemble classification
- naive bayes
- optimization problems
- generalization ability
- training data
- weak classifiers
- grid search
- majority voting
- model selection
- training set
- e learning
- learning algorithm
- prediction accuracy
- training samples
- optimization criterion
- norm minimization
- machine learning
- gaussian process
- hyperparameters
- binary classification
- least squares
- learning environment