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A kernel-based combined classification rule

✍ Scribed by Majid Mojirsheibani

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
113 KB
Volume
48
Category
Article
ISSN
0167-7152

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✦ Synopsis

This article deals with a weighted-type combined classiΓΏcation rule where the combining is based on a data discretization and the "weights" are determined by exponential kernels. The smoothing parameter of the kernel is estimated by a data-splitting approach. Both the mechanics and the asymptotic validity of the proposed procedure are discussed.

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