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  4. Quantitative measurements of model interpretability for the analysis of spectral data
 
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2013
  • Konferenzbeitrag

Titel

Quantitative measurements of model interpretability for the analysis of spectral data

Author(s)
Backhaus, Andreas
Seiffert, Udo
Hauptwerk
2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2013). Proceedings
Konferenz
Symposium on Computational Intelligence and Data Mining (CIDM) 2013
Symposium Series on Computational Intelligence (SSCI) 2013
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DOI
10.1109/CIDM.2013.6597212
Language
Englisch
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Tags
  • image classification

  • learning (artificial ...

  • machine learning

  • model interpretabilit...

  • model parameter

  • quantitative measurem...

  • spectral data

  • accuracy

  • data mining

  • data models

  • hyperspectral imaging...

  • prototype

  • redundancy

  • vectors

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