• DocumentCode
    2372766
  • Title

    Creating an SVM to play strong poker

  • Author

    Blank, Tanya ; Leen-Kiat Soh ; Scott, Simon

  • Author_Institution
    Computer Science Department, University of Nebraska-Lincoln, Lincoln, NE, U.S.A
  • fYear
    2004
  • fDate
    16-18 Dec. 2004
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    We present a support vector machine that plays strong poker based on training on data from a proven player. This approach allows us to create an agent without having to use and implement expert rules. We tested our support vector machine by having it play against several opponents. It did not perform as well as expected, but did show some promise.
  • Keywords
    Artificial neural networks; Computer science; Humans; Internet; Kernel; Pattern recognition; Support vector machine classification; Support vector machines; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications, 2004. Proceedings. 2004 International Conference on
  • Conference_Location
    Louisville, Kentucky, USA
  • Print_ISBN
    0-7803-8823-2
  • Type

    conf

  • DOI
    10.1109/ICMLA.2004.1383507
  • Filename
    1383507
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2372766