• DocumentCode
    1353329
  • Title

    Improving the generalisation of the N-tuple classifier using the effective VC dimension

  • Author

    Bradshaw, N.P. ; Aleksander, I.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
  • Volume
    32
  • Issue
    20
  • fYear
    1996
  • fDate
    9/26/1996 12:00:00 AM
  • Firstpage
    1904
  • Lastpage
    1905
  • Abstract
    The VC dimension of an n-tuple classifier predicts poorer generalisation performance than is found in practice. The effective VC dimension of the classifier for a Gaussian input distribution is calculated empirically and shown to be significantly lower than the true VC dimension. Thus better generalisation can be predicted without the risk of over-fitting
  • Keywords
    Gaussian distribution; learning (artificial intelligence); pattern classification; Gaussian input distribution; N-tuple classifier; effective VC dimension; generalisation performance;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19961264
  • Filename
    535205
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1353329