Distant diversity in dynamic class prediction

DOI10.1007/s10479-016-2328-8zbMath1478.62182OpenAlexW2534745424MaRDI QIDQ1639212

Şenay Yaşar Sağlam, W. Nick Street

Publication date: 12 June 2018

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-016-2328-8

zbMATH Keywords

classificationdiversitylocal accuracydynamic ensemble

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (2)

Maximizing single attribute diversity in group selection ⋮ KNN and adaptive comfort applied in decision making for HVAC systems

Uses Software

• LIBSVM

Cites Work

• Bagging predictors
• An analysis of diversity measures
• A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
• Disparate data fusion for protein phosphorylation prediction
• Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
• Using genetic algorithms to optimize nearest neighbors for data mining
• From dynamic classifier selection to dynamic ensemble selection
• A study on the performances of dynamic classifier selection based on local accuracy estimation
• Dynamic classifier selection based on multiple classifier behaviour
• Random forests

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