On the Procedures of Generation of Numerical Features over Partitions of Sets of Objects in the Problem of Predicting Numerical Target Variables

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...

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Veröffentlicht in:Pattern recognition and image analysis 2019-10, Vol.29 (4), p.654-667
Hauptverfasser: Torshin, I. Yu, Rudakov, K. V.
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description 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.
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subjects Algorithms
Applied Artificial Intelligence Systems. Knowledge-Based and Intelligence Systems
Bioinformatics
Blood plasma
Computer Science
High temperature superconductors
Image Processing and Computer Vision
Magnesium
Numerical prediction
Pattern Recognition
Regularity
Solid state physics
title On the Procedures of Generation of Numerical Features over Partitions of Sets of Objects in the Problem of Predicting Numerical Target Variables
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