An asymptotically optimal kernel combined classifier

DOI10.1016/j.spl.2016.07.017zbMath1398.62168OpenAlexW2478345259MaRDI QIDQ334008

Majid Mojirsheibani, Jiajie Kong

Publication date: 31 October 2016

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

Full work available at URL: https://doi.org/10.1016/j.spl.2016.07.017

zbMATH Keywords

Hamming distancekernelcombined classifiersmoothing parameter

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05)

Related Items (1)

KFC: A clusterwise supervised learning procedure based on the aggregation of distances

Uses Software

• SuperLearner
• COBRA

Cites Work

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• Aggregating regression procedures to improve performance
• Combining different procedures for adaptive regression
• Stacked regressions
• Combining Estiamates in Regression and Classification
• Combining Classifiers via Discretization
• Aggregating classifiers via Rademacher–Walsh polynomials
• Probability Inequalities for Sums of Bounded Random Variables
• Super Learner
• Random Forests and Adaptive Nearest Neighbors
• Random forests

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