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Sibirskii Zhurnal Industrial'noi Matematiki, 2009, Volume 12, Number 3, Pages 66–74 (Mi sjim568)  
This article is cited in 2 scientific papers (total in 2 papers)

An Adaptive Search Method for a Logical Solving Function

G. S. Lbova, V. M. Nedel'koa, S. V. Nedel'kob

a Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
b Novosibirsk State Technical University, Novosibirsk
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Abstract: A method is proposed for seeking the optimal logical solving function in the problems of data analysis, which is a modification of adaptive random search. The method uses a metric in the space of logical solving functions and seeks solutions in accordance with an adaptable probability measure.
Keywords: pattern recognition, machine learning, solution trees, global extremum search, optimization, adaptive random search, genetic algorithms.
Received: 18.11.2008
Revised: 10.03.2009
UDC: 519.9
Language: Russian
Citation: G. S. Lbov, V. M. Nedel'ko, S. V. Nedel'ko, “An Adaptive Search Method for a Logical Solving Function”, Sib. Zh. Ind. Mat., 12:3 (2009), 66–74
Citation in format AMSBIB
\Bibitem{LboNedNed09}
\by G.~S.~Lbov, V.~M.~Nedel'ko, S.~V.~Nedel'ko
\paper An~Adaptive Search Method for a~Logical Solving Function
\jour Sib. Zh. Ind. Mat.
\yr 2009
\vol 12
\issue 3
\pages 66--74
\mathnet{http://mi.mathnet.ru/sjim568}
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  • https://www.mathnet.ru/eng/sjim/v12/i3/p66
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Сибирский журнал индустриальной математики
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