• DocumentCode
    2621362
  • Title

    A positive extension matrix algorithmAE18 of learning from examples

  • Author

    Zhang, Haiyi ; Lei, Jin

  • Author_Institution
    Jodrey Sch. of Comput. Sci., Acadia Univ., Wolfville, NS, Canada
  • Volume
    2
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    712
  • Abstract
    The key aim of inducing rules from unordered examples is the learning algorithm, so development of a high-quality learning algorithm will promote growth of machine learning. In order to optimize our positive matrix algorithm, this paper presents a new version of the positive extension matrix algorithm called AE18 and makes comparisons with our experimental results.
  • Keywords
    learning by example; matrix algebra; learning from example; machine learning; positive extension matrix algorithm; positive matrix algorithm; Computer science; Decision trees; Machine learning; Machine learning algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9017-2
  • Type

    conf

  • DOI
    10.1109/GRC.2005.1547384
  • Filename
    1547384
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2621362