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Artificial Intelligence and Decision Making, 2014, Issue 3, Pages 3–20 (Mi iipr360)  
This article is cited in 4 scientific papers (total in 4 papers)

Methods of reasoning and knowledge representation

Some capabilities of enumeration control in the DSM method. Part II

M. I. Zabezhailo

Applied Research Center for Computer Networks
Full-text PDF (613 kB) Citations (4)
Abstract: Capabilities of enumeration optimization in the intelligent data analysis by the DSM method of automated hypothesis formation are discussed. Some options for enumeration control by using specifically generated combinatory objects called pseudo-trees are considered. Algorithms for targeted restoration of pseudo-trees according to their pseudomodels are proposed. The concept of the approximate DSM method is developed. The capabilities of additional acceleration of DSM data processing by using parallel algorithms, specialized cloud computing, and some problem-oriented hardware-circuit solutions are described.
Keywords: DSM method of automated hypothesis generation, computing complexity, enumeration optimization, methods of decomposition in reduction of enumeration, approximate computing.
English version:
Scientific and Technical Information Processing, 2014, Volume 41, Issue 6, Pages 348–361
DOI: https://doi.org/10.3103/S0147688214060094
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: M. I. Zabezhailo, “Some capabilities of enumeration control in the DSM method. Part II”, Artificial Intelligence and Decision Making, 2014, no. 3, 3–20; Scientific and Technical Information Processing, 41:6 (2014), 348–361
Citation in format AMSBIB
\Bibitem{Zab14}
\by M.~I.~Zabezhailo
\paper Some capabilities of enumeration control in the DSM method. Part~II
\jour Artificial Intelligence and Decision Making
\yr 2014
\issue 3
\pages 3--20
\mathnet{http://mi.mathnet.ru/iipr360}
\elib{https://elibrary.ru/item.asp?id=21945199}
\transl
\jour Scientific and Technical Information Processing
\yr 2014
\vol 41
\issue 6
\pages 348--361
\crossref{https://doi.org/10.3103/S0147688214060094}
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  • https://www.mathnet.ru/eng/iipr/y2014/i3/p3
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    This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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