Algorithms for Robust Predictor Filtering and Evaluation of Their Stability; Contemporary Mathematics; Vol. 7, iss. 2
| Parent link: | Contemporary Mathematics.— .— Singapore: Universal Wiser Publisher Vol. 7, iss. 2.— 2026.— 23 p. |
|---|---|
| Otros Autores: | , , , , , , , |
| Sumario: | Title screen The paper is devoted to the development of an algorithm for reliable predictor filtering based on Henze-Zirklerstatistics, development of an iterative procedure based on Lass regularization. The stability of the algorithms based onmodelled and real examples is studied. The description and investigation of existing robust filtering algorithms are given.In the process, two algorithms have been implemented for the study. The second procedure is an improvement of thefirst algorithm which screens out highly correlated predictors. A comparative analysis with existing filtering algorithmswas carried out, and the stability of Henze-Zirkler robust filtering algorithm and the iterative procedure based on Lassoregularization was investigated. As a result of the work, conclusions were drawn about the effectiveness of the Henze-Zirkler robust filtering algorithm and the iterative procedure based on Lasso regularization. In addition, shortcomings inthe stability of the algorithms when dealing with categorical data were identified Текстовый файл AM_Agreement |
| Lenguaje: | inglés |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://doi.org/10.37256/cm.7220269142 |
| Formato: | Electrónico Capítulo de libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=686499 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 686499 | ||
| 005 | 20260514093325.0 | ||
| 090 | |a 686499 | ||
| 100 | |a 20260514d2026 k||y0rusy50 ba | ||
| 101 | 0 | |a eng | |
| 102 | |a SG | ||
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i |b e | |
| 182 | 0 | |a b | |
| 183 | 0 | |a cr |2 RDAcarrier | |
| 200 | 1 | |a Algorithms for Robust Predictor Filtering and Evaluation of Their Stability |f Boris V. Malozyomov, Nikita V. Martyushev, Roman V. Klyuev [et al.] | |
| 203 | |a Текст |b визуальный |c электронный | ||
| 283 | |a online_resource |2 RDAcarrier | ||
| 300 | |a Title screen | ||
| 320 | |a References: 56 tit | ||
| 330 | |a The paper is devoted to the development of an algorithm for reliable predictor filtering based on Henze-Zirklerstatistics, development of an iterative procedure based on Lass regularization. The stability of the algorithms based onmodelled and real examples is studied. The description and investigation of existing robust filtering algorithms are given.In the process, two algorithms have been implemented for the study. The second procedure is an improvement of thefirst algorithm which screens out highly correlated predictors. A comparative analysis with existing filtering algorithmswas carried out, and the stability of Henze-Zirkler robust filtering algorithm and the iterative procedure based on Lassoregularization was investigated. As a result of the work, conclusions were drawn about the effectiveness of the Henze-Zirkler robust filtering algorithm and the iterative procedure based on Lasso regularization. In addition, shortcomings inthe stability of the algorithms when dealing with categorical data were identified | ||
| 336 | |a Текстовый файл | ||
| 371 | 0 | |a AM_Agreement | |
| 461 | 1 | |t Contemporary Mathematics |c Singapore |n Universal Wiser Publisher | |
| 463 | 1 | |t Vol. 7, iss. 2 |v 23 p. |d 2026 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a robust predictor filtering | |
| 610 | 1 | |a Henze-Zirkler statistics | |
| 610 | 1 | |a regression analysis | |
| 610 | 1 | |a lasso regularization | |
| 701 | 1 | |a Malozemov |b B. V. |g Boris Vitaljevich | |
| 701 | 1 | |a Martyushev |b N. V. |c specialist in the field of material science |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences |f 1981- |g Nikita Vladimirovich |9 16754 | |
| 701 | 1 | |a Klyuev |b R. V. |g Roman Vladimirovich | |
| 701 | 1 | |a Demin |b A. Yu. |c specialist in the field of Informatics and computer engineering |c Associate Professor of Tomsk Polytechnic University, candidate of technical sciences |f 1973- |g Anton Yurievich |9 17327 | |
| 701 | 1 | |a Sorokova |b S. N. |c specialist in the field of Informatics and computer engineering |c associate Professor of Tomsk Polytechnic University, programmer, candidate of physico-mathematical Sciences |f 1981- |g Svetlana Nikolaevna |9 16596 | |
| 701 | 1 | |a Efremenkov (Ephremenkov) |b E. A. |c Specialist in the field of mechanical engineering |c Associate Professor of Tomsk Polytechnic University, Candidate of Technical Sciences (PhD) |f 1975- |g Egor Alekseevich |9 14780 | |
| 701 | 1 | |a Valuev |b D. V. |c specialist in the field of metal working |c Associate Professor of Yurga technological Institute of Tomsk Polytechnic University, Candidate of technical sciences |f 1980- |g Denis Viktorovich |9 16748 | |
| 701 | 1 | |a Kotov |b A. O. |g Andrey Olegovich | |
| 801 | 0 | |a RU |b 63413507 |c 20260514 | |
| 850 | |a 63413507 | ||
| 856 | 4 | 0 | |u https://doi.org/10.37256/cm.7220269142 |z https://doi.org/10.37256/cm.7220269142 |
| 942 | |c CF | ||