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
Abstract
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
- Rykov A.S. Methods of system analysis: Multicriteria and fuzzy optimization, modeling and expert evaluations. — M.: Economics, 1999.
- Search Engine Optimization (SEO) Secrets / Danny Dover, Erik Dafforn. — Indianapolis: John Wiley & Sons Limited, 2011.
- 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.
- 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.
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