On the Procedures of Generation of Numerical Features over Partitions of Sets of Objects in the Problem of Predicting Numerical Target Variables
- 作者: Torshin I.1, Rudakov K.1
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隶属关系:
- Dorodnicyn Computing Centre, Federal Research Center Computer Science and Control, Russian Academy of Sciences
- 期: 卷 29, 编号 4 (2019)
- 页面: 654-667
- 栏目: 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
如何引用文章
详细
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.
作者简介
I. Torshin
Dorodnicyn Computing Centre, Federal Research Center Computer Science and Control,Russian Academy of Sciences
编辑信件的主要联系方式.
Email: tiy1357@yandex.ru
俄罗斯联邦, ul. Vavilova 44, Moscow, 119333
K. Rudakov
Dorodnicyn Computing Centre, Federal Research Center Computer Science and Control,Russian Academy of Sciences
编辑信件的主要联系方式.
Email: rudakov@ccas.ru
俄罗斯联邦, ul. Vavilova 44, Moscow, 119333