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A bias-variance analysis of a real world learning problem: The CoIL challenge 2000

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Publication:703110
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DOI10.1023/B:MACH.0000035476.95130.99zbMath1078.68738OpenAlexW1967030981MaRDI QIDQ703110

Maarten van Someren, Peter van der Putten

Publication date: 19 January 2005

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

Full work available at URL: https://doi.org/10.1023/b:mach.0000035476.95130.99


zbMATH Keywords

overfittingBias-variance decompositionreal world applications


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (4)

Discovery of latent structures: experience with the CoIL challenge 2000 data set ⋮ Bayesian classifiers based on kernel density estimation: flexible classifiers ⋮ Supervised classification with conditional Gaussian networks: increasing the structure complexity from naive Bayes ⋮ Optimal survival trees




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