• DocumentCode
    295949
  • Title

    Identification of sample size needed in a given classification task

  • Author

    Tien, Dapeng

  • Author_Institution
    Dept. of Electr. Eng., Ngee Ann Polytech., Singapore
  • Volume
    1
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    49
  • Abstract
    The determination of a sufficient size for classification tasks has been haphazard and lacking in formal mathematical analysis. Instead of using current PAC learning, this paper discusses another approach to tackling this problem. It involves 3 steps: estimating the sample means, determining if the sample means are significantly different from each other and determining if the standard error of the estimated proportion is sufficiently small
  • Keywords
    pattern classification; statistical analysis; classification task; sample means; sample size; standard error; Equations; Error analysis; Error correction; Estimation error; Intelligent networks; Mathematical analysis; Neural networks; State estimation; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.487875
  • Filename
    487875
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=295949