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Ensemble Pruning
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Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
Liquid Democracy for Low-Cost Ensemble Pruning
Hierarchical Pruning of Deep Ensembles with Focal Diversity
Autoselection of the Ensemble of Convolutional Neural Networks with Second-Order Cone Programming
A Robust Hypothesis Test for Tree Ensemble Pruning
Ensemble pruning via an integer programming approach with diversity constraints
The Shapley Value in Machine Learning
Boosting Deep Ensemble Performance with Hierarchical Pruning
Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data Streams
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement
On-the-Fly Ensemble Pruning in Evolving Data Streams
The Shapley Value of Classifiers in Ensemble Games
When does Diversity Help Generalization in Classification Ensembles?
Sub-Architecture Ensemble Pruning in Neural Architecture Search
Ensemble Pruning via Margin Maximization
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction
Ensemble Pruning based on Objection Maximization with a General Distributed Framework
Evolving Ensemble Fuzzy Classifier
Personalized Classifier Ensemble Pruning Framework for Mobile Crowdsourcing
Random Forest Based Approach for Concept Drift Handling
Optimally Pruning Decision Tree Ensembles With Feature Cost
On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests
Learning to Diversify via Weighted Kernels for Classifier Ensemble
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