Aggregating classifiers via Rademacher–Walsh polynomials

DOI10.1080/00949655.2013.869695zbMath1457.62202OpenAlexW2041934058MaRDI QIDQ5220783

Zahra Montazeri, Majid Mojirsheibani

Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.869695

zbMATH Keywords

consistencymisclassification error rateclassifier aggregationcombined classification

Mathematics Subject Classification ID

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

Related Items (1)

An asymptotically optimal kernel combined classifier

Uses Software

• SuperLearner

Cites Work

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• Aggregating regression procedures to improve performance
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• Combining Estiamates in Regression and Classification
• Combining Classifiers via Discretization
• Super Learner
• Random forests

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