On the Procedures of Generation of Numerical Features over Partitions of Sets of Objects in the Problem of Predicting Numerical Target Variables
- Авторы: Torshin I.1, Rudakov K.1
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Учреждения:
- Dorodnicyn Computing Centre, Federal Research Center Computer Science and Control, Russian Academy of Sciences
- Выпуск: Том 29, № 4 (2019)
- Страницы: 654-667
- Раздел: Applied Artificial Intelligence Systems. Knowledge-Based and Intelligence Systems
- URL: https://journals.rcsi.science/1054-6618/article/view/195731
- DOI: https://doi.org/10.1134/S1054661819040175
- ID: 195731
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Аннотация
Analysis of criteria for the solvability/regularity of problems and of the correctness of algorithms is applied here to the problem of prediction of the values of numerical variables. It is shown that partial regularity is a necessary and sufficient condition for the solvability of the corresponding system of the classification problems. Cross-validation experiments conducted on several datasets from the field of biomedicine (non-invasive diagnostics of magnesium concentration in blood plasma), bioinformatics (prediction of the protein secondary structure), and solid-state physics (prediction of the properties of high-temperature superconductors) have demonstrated the effectiveness of the developed methods for generating “synthetic” informative numerical features and for increasing the accuracy of prediction of the numerical target variables.
Об авторах
I. Torshin
Dorodnicyn Computing Centre, Federal Research Center Computer Science and Control,Russian Academy of Sciences
Автор, ответственный за переписку.
Email: tiy1357@yandex.ru
Россия, ul. Vavilova 44, Moscow, 119333
K. Rudakov
Dorodnicyn Computing Centre, Federal Research Center Computer Science and Control,Russian Academy of Sciences
Автор, ответственный за переписку.
Email: rudakov@ccas.ru
Россия, ul. Vavilova 44, Moscow, 119333