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 |
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creator | Torshin, I. Yu Rudakov, K. V. |
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. |
doi_str_mv | 10.1134/S1054661819040175 |
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Yu ; Rudakov, K. V.</creator><creatorcontrib>Torshin, I. Yu ; Rudakov, K. V.</creatorcontrib><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.</description><identifier>ISSN: 1054-6618</identifier><identifier>EISSN: 1555-6212</identifier><identifier>DOI: 10.1134/S1054661819040175</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Algorithms ; Applied Artificial Intelligence Systems. 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Yu</creatorcontrib><creatorcontrib>Rudakov, K. V.</creatorcontrib><title>On the Procedures of Generation of Numerical Features over Partitions of Sets of Objects in the Problem of Predicting Numerical Target Variables</title><title>Pattern recognition and image analysis</title><addtitle>Pattern Recognit. Image Anal</addtitle><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.</description><subject>Algorithms</subject><subject>Applied Artificial Intelligence Systems. Knowledge-Based and Intelligence Systems</subject><subject>Bioinformatics</subject><subject>Blood plasma</subject><subject>Computer Science</subject><subject>High temperature superconductors</subject><subject>Image Processing and Computer Vision</subject><subject>Magnesium</subject><subject>Numerical prediction</subject><subject>Pattern Recognition</subject><subject>Regularity</subject><subject>Solid state physics</subject><issn>1054-6618</issn><issn>1555-6212</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kF9LwzAUxYMoOKcfwLeCz9X8aZLmUYabwnCDTV9Lmt7OjK2dSSb4LfzIpquoID7dczm_cy5chC4JviaEZTcLgnkmBMmJwhkmkh-hAeGcp4ISehx1tNPOP0Vn3q8xxpGkA_Qxa5LwAsnctQaqvQOftHUygQacDrZtuu1xvwVnjd4kY9ChZ97AJXPtgu2gQ2YB4TBn5RpMlPa7uNzAtnPmDiprgm1WvyqX2q0gJM_aWR1Bf45Oar3xcPE1h-hpfLcc3afT2eRhdDtNDSMipBqXopRClDnnMlNAhARc5UYBlYqWMgMMBAywqjYKG0E5U4wqXQPLlTKGDdFV37tz7esefCjW7d418WRBGcNKcpnLSJGeMq713kFd7JzdavdeEFx0jy_-PD5maJ_xkW1W4H6a_w99AiIehio</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Torshin, I. 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Knowledge-Based and Intelligence Systems</topic><topic>Bioinformatics</topic><topic>Blood plasma</topic><topic>Computer Science</topic><topic>High temperature superconductors</topic><topic>Image Processing and Computer Vision</topic><topic>Magnesium</topic><topic>Numerical prediction</topic><topic>Pattern Recognition</topic><topic>Regularity</topic><topic>Solid state physics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Torshin, I. Yu</creatorcontrib><creatorcontrib>Rudakov, K. 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Image Anal</stitle><date>2019-10-01</date><risdate>2019</risdate><volume>29</volume><issue>4</issue><spage>654</spage><epage>667</epage><pages>654-667</pages><issn>1054-6618</issn><eissn>1555-6212</eissn><abstract>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. 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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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