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Machine learning performance validation and training using a ‘perfect’ expert system

A method is proposed for generating application domain agnostic data for training and evaluating machine learning systems. The proposed method randomly generates an expert system network based upon user specified parameters. This expert system serves as a generic model of an unspecified phenomena. T...

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Detalles Bibliográficos
Autor principal: Straub, Jeremy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374678/
https://www.ncbi.nlm.nih.gov/pubmed/34434876
http://dx.doi.org/10.1016/j.mex.2021.101477