his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Explaining winning poker: a data mining approach
University of Borås.
University of Borås.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
2006 (English)In: 24th Annual Workshop of the Swedish Artificial Intelligence, IEEE Computer Society, 2006, 129-134 p.Conference paper, (Refereed)
Abstract [en]

This paper presents an application where machine learning techniques are used to mine data gathered from online poker in order to explain what signifies successful play. The study focuses on short-handed small stakes Texas Hold'em, and the data set used contains 105 human players, each having played more than 500 hands. Techniques used are decision trees and G-REX, a rule extractor based on genetic programming. The overall result is that the rules induced are rather compact and have very high accuracy, thus providing good explanations of successful play. It is of course quite hard to assess the quality of the rules; i.e. if they provide something novel and non-trivial. The main picture is, however, that obtained rules are consistent with established poker theory. With this in mind, we believe that the suggested techniques will in future studies, where substantially more data is available, produce clear and accurate descriptions of what constitutes the difference between winning and losing in poker.

Place, publisher, year, edition, pages
IEEE Computer Society, 2006. 129-134 p.
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-2063DOI: 10.1109/ICMLA.2006.23ISI: 000244477800020Scopus ID: 2-s2.0-40349084395OAI: oai:DiVA.org:his-2063DiVA: diva2:32339
Conference
5th International Conference on Machine Learning and Applications, ICMLA 2006;Orlando, FL;14 December 2006through16 December 2006
Available from: 2008-05-19 Created: 2008-05-19 Last updated: 2013-03-20

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Niklasson, Lars
By organisation
School of Humanities and InformaticsThe Informatics Research Centre

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 395 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf