• DocumentCode
    3255734
  • Title

    Using the IIPS framework to specify machine-discovery problems

  • Author

    Hamilton, Howard J. ; Dyck, J. Michael

  • Author_Institution
    Dept. of Comput. Sci., Regina Univ., Sask., Canada
  • fYear
    1992
  • fDate
    28-30 May 1992
  • Firstpage
    266
  • Lastpage
    269
  • Abstract
    The authors apply the IIPS (inductive inference problem specification) framework to the task of specifying machine-discovery problems. They specify the problems attempted by equation-finding programs in general, and by BACON.1 in particular
  • Keywords
    inference mechanisms; learning (artificial intelligence); BACON.1; IIPS framework; equation-finding programs; inductive inference problem specification; machine-discovery problems; Computer science; Councils; In vitro fertilization; Lips; Machine learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Information, 1992. Proceedings. ICCI '92., Fourth International Conference on
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    0-8186-2812-X
  • Type

    conf

  • DOI
    10.1109/ICCI.1992.227658
  • Filename
    227658
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3255734