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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v30.i2-3.10
pages 1-10

Reduction Theory in Extrapolation Problems

V. I. Vasil'ev
Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev

SINOPSIS

Basic principles of the reduction theory in the pattern recognition problem are presented in a brief form. It is shown that these principles can be used in the solution of many extrapolation problems like reconstruction of deterministic and membership functions, classification, and forecasting.


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