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Quantifying model errors using similarity to training data

Detalles Bibliográficos
Autores principales: Brown, Rob D, Honeycutt, JD, Aaron, SL
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2867138/
http://dx.doi.org/10.1186/1758-2946-2-S1-O7
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author Brown, Rob D
Honeycutt, JD
Aaron, SL
author_facet Brown, Rob D
Honeycutt, JD
Aaron, SL
author_sort Brown, Rob D
collection PubMed
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spelling pubmed-28671382010-05-11 Quantifying model errors using similarity to training data Brown, Rob D Honeycutt, JD Aaron, SL J Cheminform Oral Presentation BioMed Central 2010-05-04 /pmc/articles/PMC2867138/ http://dx.doi.org/10.1186/1758-2946-2-S1-O7 Text en Copyright ©2010 Brown et al; licensee BioMed Central Ltd.
spellingShingle Oral Presentation
Brown, Rob D
Honeycutt, JD
Aaron, SL
Quantifying model errors using similarity to training data
title Quantifying model errors using similarity to training data
title_full Quantifying model errors using similarity to training data
title_fullStr Quantifying model errors using similarity to training data
title_full_unstemmed Quantifying model errors using similarity to training data
title_short Quantifying model errors using similarity to training data
title_sort quantifying model errors using similarity to training data
topic Oral Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2867138/
http://dx.doi.org/10.1186/1758-2946-2-S1-O7
work_keys_str_mv AT brownrobd quantifyingmodelerrorsusingsimilaritytotrainingdata
AT honeycuttjd quantifyingmodelerrorsusingsimilaritytotrainingdata
AT aaronsl quantifyingmodelerrorsusingsimilaritytotrainingdata