• DocumentCode
    3296055
  • Title

    Research on "Inaccurate Learning" and Its Countermeasure in Machine Learning

  • Author

    Li, Guo-chang

  • Author_Institution
    Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang
  • Volume
    1
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    227
  • Lastpage
    231
  • Abstract
    The knowledge you gained after learning is false, this learning is "inaccurate learning". The false knowledge is the knowledge not according to practice. Human always have "inaccurate learning" in learning, though they through more learning and study will correct the false knowledge they had learned, Compared to human learning, the machine learning is simple, so deal with ldquoinaccurate learningrdquo is easy. Aim at the "inaccurate learning" in machine learning, this paper discussed its characteristic and solve method, and improve the knowledge quality of machine learning.
  • Keywords
    learning (artificial intelligence); false knowledge; inaccurate learning; knowledge quality; machine learning; Conference management; Educational institutions; Eyes; Feeds; Fires; Humans; Knowledge management; Machine learning; Pain; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.879
  • Filename
    4666844