• DocumentCode
    3004960
  • Title

    A criterion based on an information theoretic measure for goodness of fit between classifier and data base

  • Author

    Eigen, D.J. ; Davida, G.I. ; Northouse, R.A.

  • Author_Institution
    Bell Laboratories
  • fYear
    1973
  • fDate
    5-7 Dec. 1973
  • Firstpage
    750
  • Lastpage
    754
  • Abstract
    A criterion for characterizing an iteratively trained classifier is presented. The criterion is based on an information theoretic measure that is developed from modeling classifier training iterations as a set of cascaded channels. The criterion is formulated as a figure of merit and as a performance index to check the appropriateness of application of the characterized classifier to anunknown data base and for implementing classifier updates and data selection respectively.
  • Keywords
    Frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control including the 12th Symposium on Adaptive Processes, 1973 IEEE Conference on
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1973.269111
  • Filename
    4045173
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3004960