You can have your ensemble and run it too - Deep Ensembles Spread Over Time.
Isak MedingAlexander BodinAdam TonderskiJoakim JohnanderChristoffer PeterssonLennart SvenssonPublished in: CoRR (2023)
Keyphrases
- ensemble methods
- ensemble learning
- ensemble selection
- neural network ensemble
- ensemble members
- base classifiers
- classifier ensemble
- random forests
- imbalanced data
- ensemble classifier
- weighted voting
- prediction accuracy
- decision trees
- decision tree ensembles
- ensemble feature selection
- random forest
- variable selection
- generalization ability
- base learners
- multiple classifier systems
- multi class
- logistic regression
- majority voting
- generalization error
- neural network
- competitive learning
- feature ranking
- cluster ensemble
- machine learning methods
- benchmark datasets
- run times
- decision stumps
- artificial neural networks
- training set
- genetic algorithm
- tree ensembles
- regression trees