Information-theoretical feature selection using data obtained by Scanning Electron Microscopy coupled with and Energy Dispersive X-ray spectrometer for the classification of glass traces

This is the author’s version of a work that was accepted for publication in Analytica Chimica Acta. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may...

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Detalhes bibliográficos
Autores: Ramos Castro, Daniel, Zadora, Grzegorz
Formato: artículo
Fecha de publicación:2011
País:España
Recursos:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/663685
Acesso em linha:http://hdl.handle.net/10486/663685
https://dx.doi.org/10.1016/j.aca.2011.05.029
Access Level:acceso abierto
Palavra-chave:Empirical Cross-Entropy
Feature selection
Forensic evaluation of the evidence
Glass classification
Likelihood ratio
Physico-chemical multivariate data
SEM-EDX
Informática
Telecomunicaciones
Descrição
Resumo:This is the author’s version of a work that was accepted for publication in Analytica Chimica Acta. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Analytica Chimica Acta, 705, 1-2, (2011) DOI: 10.1016/j.aca.2011.05.029