A dynamic ensemble approach to robust classification in the presence of missing data

DOI10.1007/S10994-015-5530-ZzbMath1401.68261OpenAlexW2192009965MaRDI QIDQ506432

Bryan Conroy, Cristhian Potes, Minnan Xu-Wilson, Larry Eshelman

Publication date: 31 January 2017

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-015-5530-z

zbMATH Keywords

missing dataensemble methodshemodynamic instability

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Uses Software

• Amelia

Cites Work

• Unnamed Item
• Greedy function approximation: A gradient boosting machine.
• Stacked regressions
• Improved boosting algorithms using confidence-rated predictions

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