• DocumentCode
    423646
  • Title

    Second-order generalization

  • Author

    Neville, Richard S.

  • Author_Institution
    Dept. of Comput., UMIST, Manchester, UK
  • Volume
    2
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    949
  • Abstract
    Second-order generalization is usually of a more abstract nature than standard generalization, as unseen stimuli may be classified by some higher order rule. The research presents a new theory, which utilises information inheritance in order to perform second-order generalization. In this article, we present the theory behind a recognition system, which performs recognition without learning. Recognition without learning can be viewed as one form of second-order generalization.
  • Keywords
    generalisation (artificial intelligence); neural nets; pattern classification; information inheritance; neural networks; recognition system; second order generalization; Electronic mail; Humans; Image recognition; Mirrors; Network topology; Neural networks; Neurons; Optimization methods; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1380060
  • Filename
    1380060