Using novelty search to explicitly create diversity in ensembles of classifiers.
Rui P. CardosoEmma HartDavid Burth KurkaJeremy V. PittPublished in: GECCO (2021)
Keyphrases
- diversity measures
- classifier ensemble
- search result diversification
- decision trees
- search space
- ensemble learning
- search algorithm
- ensemble members
- training set
- ensemble classifier
- support vector
- training data
- search strategy
- ensemble methods
- classification models
- machine learning methods
- naive bayes
- simulated annealing
- search queries
- linear classifiers
- novelty detection
- test set
- search efficiency
- federated search
- multi class
- evolutionary algorithm