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Ensemble Pruning

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Showing 1–25 of 27 papers

TitleStatusHype
The Shapley Value of Classifiers in Ensemble GamesCode1
The Shapley Value in Machine LearningCode1
When does Diversity Help Generalization in Classification Ensembles?—0
A Robust Hypothesis Test for Tree Ensemble Pruning—0
Learning to Diversify via Weighted Kernels for Classifier Ensemble—0
Learn Together, Stop Apart: a Novel Approach to Ensemble Pruning—0
Liquid Democracy for Low-Cost Ensemble Pruning—0
On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications—0
On-the-Fly Ensemble Pruning in Evolving Data Streams—0
Optimally Pruning Decision Tree Ensembles With Feature Cost—0
Personalized Classifier Ensemble Pruning Framework for Mobile Crowdsourcing—0
Random Forest Based Approach for Concept Drift Handling—0
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction—0
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests—0
Ensemble pruning via an integer programming approach with diversity constraints—0
Ensemble Pruning via Margin Maximization—0
Evolving Ensemble Fuzzy Classifier—0
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity MetricsCode0
Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data StreamsCode0
Ensemble Pruning based on Objection Maximization with a General Distributed FrameworkCode0
Autoselection of the Ensemble of Convolutional Neural Networks with Second-Order Cone ProgrammingCode0
LLM-TOPLA: Efficient LLM Ensemble by Maximising DiversityCode0
Boosting Deep Ensemble Performance with Hierarchical PruningCode0
Hierarchical Pruning of Deep Ensembles with Focal DiversityCode0
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-RefinementCode0
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