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An Improved Kernel Credal Classification Algorithm Based on Regularized Mahalanobis Distance: Application to Microarray Data Analysis

Within the kernel methods, an improved kernel credal classification algorithm (KCCR) has been proposed. The KCCR algorithm uses the Euclidean distance in the kernel function. In this article, we propose to replace the Euclidean distance in the kernel with a regularized Mahalanobis metric. The Mahala...

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Detalhes bibliográficos
Publicado no:Comput Intell Neurosci
Main Authors: EL bendadi, Khawla, Lakhdar, Yissam, Sbai, El Hassan
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6040306/
https://ncbi.nlm.nih.gov/pubmed/30050567
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/7525786
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