• DocumentCode
    2658489
  • Title

    Investigating models of computational learning theory

  • Author

    Hussain, Shahid

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Bahria Univ., Karachi
  • fYear
    2008
  • fDate
    23-24 Dec. 2008
  • Firstpage
    418
  • Lastpage
    422
  • Abstract
    This paper presents some of the important models (frameworks) in computational learning theory such as learning in the limit, learning from queries and entailment and probably approximately correct learning.
  • Keywords
    learning (artificial intelligence); approximately correct learning; computational learning theory; Algorithm design and analysis; Artificial intelligence; Computational modeling; Computer science; Control theory; Gold; Humans; Intelligent systems; Machine learning; Statistics; Computational learning theory; inductive inference; learning from entailment; learning from queries; learning in the limit; probably approximately correct learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multitopic Conference, 2008. INMIC 2008. IEEE International
  • Conference_Location
    Karachi
  • Print_ISBN
    978-1-4244-2823-6
  • Electronic_ISBN
    978-1-4244-2824-3
  • Type

    conf

  • DOI
    10.1109/INMIC.2008.4777774
  • Filename
    4777774
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2658489