• DocumentCode
    1446435
  • Title

    Induction as optimization

  • Author

    Rendell, Larry

  • Author_Institution
    Beckman Inst. of Adv. Sci. & Technol., Urbana, IL, USA
  • Volume
    20
  • Issue
    2
  • fYear
    1990
  • Firstpage
    326
  • Lastpage
    338
  • Abstract
    A representative (but unimodal) problem, the fifteen puzzle, is used to test six different learning systems: some that fit, count, or partition data in instance space; some that optimize measures derived from data in hypothesis space; and some that perform combinations of such procedures. The six systems are described, tested, and analyzed. Through several experiments, specific properties are extracted. By combining two or three kinds of techniques, the extent to which they complement each other is gauged. It is concluded that combinations of strengths can overcome difficulties in domains that are simultaneously probabilistic, dynamic, noisy, and biased
  • Keywords
    artificial intelligence; learning systems; optimisation; artificial intelligence; hypothesis space; induction; learning systems; optimization; Artificial intelligence; Diseases; Extraterrestrial measurements; Humans; Learning systems; Machine learning; Performance evaluation; Space exploration; System testing; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.52544
  • Filename
    52544