Bias-variance decomposition in genetic programming

DOI10.1515/math-2016-0005zbMath1346.62077OpenAlexW2333949469MaRDI QIDQ317833

Taras Kowaliw, René Doursat

Publication date: 4 October 2016

Published in: Open Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/math-2016-0005

zbMATH Keywords

classificationcomputational learning theoryanalysis of algorithmsregressionevolutionary computationgenetic programmingbias-variance decompositionlearning and adaptive systemsnon-parametric inference

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Computational learning theory (68Q32) Analysis of algorithms (68W40) Learning and adaptive systems in artificial intelligence (68T05) Analysis of variance and covariance (ANOVA) (62J10)

Uses Software

• UCI-ml
• ElemStatLearn
• C4.5

Cites Work

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• Handwritten digit recognition: Benchmarking of state-of-the-art techniques.
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• Breast Cancer Diagnosis and Prognosis Via Linear Programming
• The elements of statistical learning. Data mining, inference, and prediction

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