Combinatorial analysis of the solvability properties of the problems of recognition and completeness of algorithmic models. Part 1: Factorization approach
- 作者: Torshin I.Y.1, Rudakov K.V.1,2
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隶属关系:
- Moscow Institute of Physics and Technology
- Dorodnicyn Computing Centre, Federal Research Center “Informatics and Control,”
- 期: 卷 27, 编号 1 (2017)
- 页面: 16-28
- 栏目: Mathematical Method in Pattern Recognition
- URL: https://journals.rcsi.science/1054-6618/article/view/194980
- DOI: https://doi.org/10.1134/S1054661817010151
- ID: 194980
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详细
In poorly formalized problems of recognition and classification, there are plenty of methods to generate feature descriptions of objects, which are subsequently studied by the methods of computer science. Using the factorization approach (reduction of a recognition/classification problem to a binary form), here we obtain combinatorial criteria for the solvability and regularity properties of the problems and criteria of correctness of algorithms and completeness of algorithmic models (the analysis of which is an important component of the algebraic approach to the synthesis of correct algorithms). The study presents a hierarchy of the criteria and cross-validation methods for assessing their feasibility. Based on the hierarchy of criteria, we formulate a general approach to the analysis of poorly formalized problems.
作者简介
I. Torshin
Moscow Institute of Physics and Technology
编辑信件的主要联系方式.
Email: tiy1357@yandex.ru
俄罗斯联邦, Institutskii per. 9, Dolgoprudny, Moscow oblast, 141700
K. Rudakov
Moscow Institute of Physics and Technology; Dorodnicyn Computing Centre, Federal Research Center “Informatics and Control,”
Email: tiy1357@yandex.ru
俄罗斯联邦, Institutskii per. 9, Dolgoprudny, Moscow oblast, 141700; ul. Vavilova 40, Moscow, 119333
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