Systems and Means of Informatics
2023, Volume 33, Issue 1, pp 59-67
CLASSIFICATION PROBLEM IN CONDITIONS OF DISTORTED CAUSE-AND-EFFECT RELATIONSHIPS
- A. A. Grusho
- N. A. Grusho
- M. I. Zabezhailo
- A. A. Zatsarinny
- E. E. Timonina
- S. Ya. Shorgin
Abstract
The paper considers the model for classifying an object stream for the presence or absence of a certain property A in each object O. It is assumed that there are M bijective transformations of objects
coming for classification and in the stream, there are objects obtained from O according to one of these transformations. For each object O, it is known that it contains property
A which causes the known objects B1, B2,... ,Bk to appear in information spaces I1,I2,..., Ik. This means that property A can only be detected by observing the consequences B1, B2,..., Bk. The problem is that for each object in the flow, it is necessary to determine the presence or absence of the converted reason A in it. The algorithms for checking such possibility are built in cases where there is a description of characteristics A and when such a description is absent.
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[+] About this article
Title
CLASSIFICATION PROBLEM IN CONDITIONS OF DISTORTED CAUSE-AND-EFFECT RELATIONSHIPS
Journal
Systems and Means of Informatics
Volume 33, Issue 1, pp 59-67
Cover Date
2023-05-11
DOI
10.14357/08696527230106
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
finite classification task; cause-and-effect relationships; machine learning in distortions conditions
Authors
A. A. Grusho  , N. A. Grusho , M. I. Zabezhailo , A. A. Zatsarinny , E. E. Timonina , and S. Ya. Shorgin
Author Affiliations
Federal Research Center "Computer Science and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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