Intelligent systems. Theory and applications
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Intelligent systems. Theory and applications:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Intelligent systems. Theory and applications, 2021, Volume 25, Issue 1, Pages 63–69 (Mi ista294)  

Part 2. Special Issues in Intellectual Systems Theory

Possible approach to the problem of predicting sports results using data analysis methods

A. D. Zhuravlev

Lomonosov Moscow State University
References:
Abstract: This article is devoted to the construction of an algorithm for reducing the problem of predicting sports results to the problem of binary classification. At the same time, the optimality of this algorithm has been substantiated from the point of view of the application of forecasting results in the game against bookmakers.
Keywords: machine learning, predicting sports results, binary classification.
Document Type: Article
Language: Russian
Citation: A. D. Zhuravlev, “Possible approach to the problem of predicting sports results using data analysis methods”, Intelligent systems. Theory and applications, 25:1 (2021), 63–69
Citation in format AMSBIB
\Bibitem{Zhu21}
\by A.~D.~Zhuravlev
\paper Possible approach to the problem of predicting sports results using data analysis methods
\jour Intelligent systems. Theory and applications
\yr 2021
\vol 25
\issue 1
\pages 63--69
\mathnet{http://mi.mathnet.ru/ista294}
Linking options:
  • https://www.mathnet.ru/eng/ista294
  • https://www.mathnet.ru/eng/ista/v25/i1/p63
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Intelligent systems. Theory and applications
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024