Training regression ensembles by sequential target correction and resampling

DOI10.1016/j.ins.2012.01.035zbMath1248.68413OpenAlexW2053944770WikidataQ58798677 ScholiaQ58798677MaRDI QIDQ454845

Héctor Allende, Carlos Valle, Claudio Moraga, Ricardo Ñanculef

Publication date: 10 October 2012

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10533/130002

zbMATH Keywords

diversityregression estimationbaggingensemble learningadaboostnegative correlation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Enhanced ensemble-based classifier with boosting for pattern recognition

Uses Software

• UCI-ml
• StatLib Datasets Archive

Cites Work

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• Optimal ensemble averaging of neural networks
• Combining Pattern Classifiers
• 10.1162/153244302760200704
• Robust Statistics
• The elements of statistical learning. Data mining, inference, and prediction

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