A kernel-based combined classification rule

DOI10.1016/S0167-7152(00)00024-9zbMath0955.62066WikidataQ127156037 ScholiaQ127156037MaRDI QIDQ1573273

Majid Mojirsheibani

Publication date: 27 February 2001

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

consistencyBayes classifierkernelsmisclassification errorshatter coefficientclassification rule

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric inference (62G99)

Related Items (4)

Smooth Nonparametric Allocation of Classification ⋮ A COMPARISON STUDY OF SOME COMBINED CLASSIFIERS ⋮ KFC: A clusterwise supervised learning procedure based on the aggregation of distances ⋮ Aggregation using input-output trade-off

Cites Work

• Unnamed Item
• A consistent combined classification rule
• Consistency of data-driven histogram methods for density estimation and classification
• Stacked regressions
• Automatic pattern recognition: a study of the probability of error
• Combining Estiamates in Regression and Classification
• Combining Classifiers via Discretization
• Convergence of stochastic processes

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