Maximum Entropy Under Uncertainty

  • Henryk Gzyl
Conference paper
Part of the Fundamental Theories of Physics book series (FTPH, volume 98)


A method for finding maximum entropy distributions when the data is noisy is provided. It does not rely on making a priori assumptions on the nature of the noise contaminating the measurements.


Probability Distribution Inverse Problem Unit Ball Maximum Entropy Regularization Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media Dordrecht 1998

Authors and Affiliations

  • Henryk Gzyl
    • 1
  1. 1.Escuela de Física y Matemáticas Facultad de CienciasUniversidad Central de VenezuelaCaracasVenezuela

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