Differentiable Model Selection for Ensemble Learning.
James KotaryVincenzo Di VitoFerdinando FiorettoPublished in: IJCAI (2023)
Keyphrases
- ensemble learning
- model selection
- cross validation
- feature selection
- generalization ability
- hyperparameters
- ensemble methods
- regression model
- learning machines
- sample size
- objective function
- concept drift
- base classifiers
- model selection criteria
- generalization error
- random forest
- meta learning
- machine learning
- unlabeled data
- selection criterion
- generalization bounds
- learning algorithm
- unsupervised learning
- support vector machine
- pattern recognition
- leave one out cross validation