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Modelling and Data Analysis
2022. Vol. 12, no. 2, 103–109
doi:10.17759/mda.2022120205
ISSN: 2219-3758 / 2311-9454 (online)

Using a Self-Learning Algorithm with Elements of Artificial Intelligence Based on Markov Chains to Correct the Semantic Core

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I.S. kolotovkin

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Abstract

The article discusses the effective use of a software tool with elements of artificial intelligence based on Markov chains. Based on the rich personal experience of the author, a description of typical problems arising in this area is given. This article describes only recommendations for using the algorithm.

General Information

Keywords: semantic core, Markov chains, key phrases, artificial intelligence

Journal rubric: Short Messages

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2022120205

Received 03.06.2022

Accepted

Published

For citation: kolotovkin, I.S. (2022). Using a Self-Learning Algorithm with Elements of Artificial Intelligence Based on Markov Chains to Correct the Semantic Core. Modelling and Data Analysis, 12(2), 103–109. (In Russ.). https://doi.org/10.17759/mda.2022120205

© kolotovkin I.S., 2022

License: CC BY-NC 4.0

References

  1. Rykov A.S. Methods of system analysis: Multicriteria and fuzzy optimization, modeling and expert evaluations. — M.: Economics, 1999.
  2. Search Engine Optimization (SEO) Secrets / Danny Dover, Erik Dafforn. — Indianapolis: John Wiley & Sons Limited, 2011.
  3. Kolotovkin I.S., Kulik S.D., Shevchenko A.A., Neural networks in the problems of query clustering when compiling a semantic core //Abstracts. XVII All-Russian Scientific Conference "Neurocomputers and their applications" NKP-2019. Moscow, March 19, 2019 — M .: FGBOU VO MGPPU, 2019. — P. 262-263.
  4. Kelbert M. Ya., Sukhov Yu. M. Probability and statistics in examples and problems. Vol. II: Markov chains as a starting point for the theory of random processes and their applications. — M.: MTSNMO, 2009.

Information About the Authors

Igor S. kolotovkin, Moscow state University of Psychology & Education (MSUPE), Elektrostal, Russian Federation, ORCID: https://orcid.org/0000-0002-6126-4849, e-mail: is@kolotovkin.pro

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