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Quantitative measurements of model interpretability for the analysis of spectral data

 
: Backhaus, Andreas; Seiffert, Udo

:

Institute of Electrical and Electronics Engineers -IEEE-:
2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2013). Proceedings : Singapore, 16 - 19 April 2013. Part of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI)]
Piscataway, NJ: IEEE, 2013
ISBN: 978-1-4673-5894-1
ISBN: 978-1-4673-5895-8
S.18-25
Symposium on Computational Intelligence and Data Mining (CIDM) <4, 2013, Singapore>
Symposium Series on Computational Intelligence (SSCI) <4, 2013, Singapore>
Englisch
Konferenzbeitrag
Fraunhofer IFF ()
image classification; learning (artificial intelligence); machine learning; model interpretability; model parameter; quantitative measurements; spectral data; accuracy; data mining; data models; hyperspectral imaging; prototype; redundancy; vectors

: http://publica.fraunhofer.de/dokumente/N-296482.html