Ensemble classification of paired data

DOI10.1016/j.csda.2010.11.017zbMath1328.62578OpenAlexW1999882329MaRDI QIDQ901582

Werner Adler, Matthias Schmid, Sergej Potapov, Berthold Lausen, Alexander Brenning

Publication date: 12 January 2016

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

Full work available at URL: https://doi.org/10.1016/j.csda.2010.11.017

zbMATH Keywords

paired dataensemble classificationglaucoma diagnosis

Mathematics Subject Classification ID

Related Items (4)

An asymptotically optimal kernel combined classifier ⋮ A simple method for combining estimates to improve the overall error rates in classification ⋮ Classification of repeated measurements data using tree-based ensemble methods ⋮ Aggregating classifiers via Rademacher–Walsh polynomials

Uses Software

• R
• mboost
• ipred
• randomForest
• Daim
• RF++

Cites Work

• Greedy function approximation: A gradient boosting machine.
• Bagging predictors
• Ensemble classification based on generalized additive models
• Boosting algorithms: regularization, prediction and model fitting
• A comparison of block and semi-parametric bootstrap methods for variance estimation in spatial statistics
• Bundling classifiers by bagging trees
• Bootstrap estimated true and false positive rates and ROC curve
• Using boosting to prune double-bagging ensembles
• Taxonomy for characterizing ensemble methods in classification tasks: a review and annotated bibliography
• Double-bagging: Combining classifiers by bootstrap aggregation
• Analyzing bagging
• A Measurement Model of Disease Damage in Paired Organs
• Random forests

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