An almost surely optimal combined classification rule

DOI10.1006/jmva.2001.1990zbMath1011.62066OpenAlexW2045391158MaRDI QIDQ1604616

Majid Mojirsheibani

Publication date: 8 July 2002

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmva.2001.1990

zbMATH Keywords

consistencymisclassification errorBayes ruleVapnik-Chervonenkis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15)

Related Items (4)

A nonlinear aggregation type classifier ⋮ Bundling classifiers by bagging trees ⋮ A Comparison of Two Group Classification Approaches to Fat-tailed and Skewed Data ⋮ Aggregation using input-output trade-off

Cites Work

• Unnamed Item
• Unnamed Item
• A consistent combined classification rule
• Consistency of data-driven histogram methods for density estimation and classification
• Stacked regressions
• On nonparametric multivariate binary discrimination
• Multivariate binary discrimination by the kernel method
• Combining Estiamates in Regression and Classification
• Combining Classifiers via Discretization

This page was built for publication: An almost surely optimal combined classification rule