• DocumentCode
    3493236
  • Title

    Regularisation of RBF-networks with the Bayesian evidence scheme

  • Author

    Husmeier, Dirk ; Roberts, Stephen J.

  • Author_Institution
    Neural Syst. Res. Group, Imperial Coll. of Sci., Technol. & Med., London, UK
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    533
  • Abstract
    We propose a novel regularisation method for Gaussian multiple networks, which adopts a Bayesian approach and draws on the evidence scheme to optimise the hyperparameters. This leads to a new, modified form of the EM algorithm, which is compared with the original scheme on three classification problems
  • Keywords
    radial basis function networks; Bayesian evidence; EM algorithm; Gaussian multiple networks; covariance matrix; hyperparameters; pattern classification; probability; radial basis function networks; regularisation method;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
  • Conference_Location
    Edinburgh
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-721-7
  • Type

    conf

  • DOI
    10.1049/cp:19991164
  • Filename
    817984
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3493236