Parallelizing AdaBoost by weights dynamics

DOI10.1016/j.csda.2006.09.001zbMath1161.62377OpenAlexW2035096001WikidataQ57314621 ScholiaQ57314621MaRDI QIDQ1019879

Cesare Furlanello, Stefano Merler, Bruno Caprile

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.09.001

zbMATH Keywords

classificationboosting

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Sequential statistical methods (62L99)

Related Items

Taxonomy for characterizing ensemble methods in classification tasks: a review and annotated bibliography, A stochastic approximation view of boosting

Uses Software

• UCI-ml
• bootstrap

Cites Work

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• Handbook of Parallel Computing and Statistics
• Soft margins for AdaBoost
• Parallel algorithms for linear models. Numerical methods and estimation problems
• Logistic regression, AdaBoost and Bregman distances