Classifier Ensembles for Changing Environments

2004/01/01 by Ludmila I. Kuncheva · 5 citations
Computer Science · Psychology · #Anomaly Detection Techniques and Applications #Artificial intelligence #Classifier (UML) #Computer science #Data Stream Mining Techniques #Ensemble learning #Forgetting #Machine Learning and Data Classification #Machine learning #Psychology

paper · doi:10.1007/978-3-540-25966-4_1

crossref issued 2004/01/01 · crossref published 2004/01/01 · crossref published-print 2004/01/01 · openalex publication_date 2004/01/01 · crossref created 2010/09/10 · openalex created_date 2025/10/10 · crossref deposited 2026/05/08 · crossref indexed 2026/07/09 · openalex updated_date 2026/08/04

Citations

• A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
• Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
• Adaptive Mixtures of Local Experts

Cited by

• A survey on concept drift adaptation
• Ensemble learning for data stream analysis: A survey
• Incremental Learning of Concept Drift in Nonstationary Environments
• Learned lessons in credit card fraud detection from a practitioner perspective
• Concept drift [wikipedia]