Combinatorial analysis of the solvability properties of the problems of recognition and completeness of algorithmic models. Part 1: Factorization approach
- Авторы: Torshin I.Y.1, Rudakov K.V.1,2
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Учреждения:
- Moscow Institute of Physics and Technology
- Dorodnicyn Computing Centre, Federal Research Center “Informatics and Control,”
- Выпуск: Том 27, № 1 (2017)
- Страницы: 16-28
- Раздел: 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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Аннотация
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.
Об авторах
I. Torshin
Moscow Institute of Physics and Technology
Автор, ответственный за переписку.
Email: tiy1357@yandex.ru
Россия, 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
Россия, Institutskii per. 9, Dolgoprudny, Moscow oblast, 141700; ul. Vavilova 40, Moscow, 119333
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