Ensemble classification based on generalized additive models

DOI10.1016/j.csda.2009.12.013zbMath1284.62368OpenAlexW2017396468MaRDI QIDQ151094

Koen W. De Bock, Kristof Coussement, Dirk Van Den Poel, Koen W. De Bock, Kristof Coussement, Dirk Van den Poel

Publication date: June 2010

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

Full work available at URL: https://doi.org/10.1016/j.csda.2009.12.013

zbMATH Keywords

classificationGAMdata miningensemble learningUCI

Mathematics Subject Classification ID

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

Related Items (10)

Fusing vantage point trees and linear discriminants for fast feature classification ⋮ An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market ⋮ An asymptotically optimal kernel combined classifier ⋮ Ensemble classification of paired data ⋮ A simple method for combining estimates to improve the overall error rates in classification ⋮ Consistency of support vector machines using additive kernels for additive models ⋮ A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics ⋮ Aggregating classifiers via Rademacher–Walsh polynomials ⋮ GAMens ⋮ An ensemble ofk-nearest neighbours algorithm for detection of Parkinson's disease

Uses Software

• R
• UCI-ml
• gam
• adabag
• GeneSrF
• randomForest
• ElemStatLearn
• GAMens

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