Zobrazeno 1 - 10
of 143
pro vyhledávání: '"symmetrical uncertainty"'
Autor:
Olga Solovei
Publikováno v:
Сучасний стан наукових досліджень та технологій в промисловості, Iss 3 (21) (2022)
The subject of the article is feature selection techniques that are used on data preprocessing step before building machine learning models. In this paper the focus is put on a Filter technique when it uses Correlation-based Feature Selection (furthe
Externí odkaz:
https://doaj.org/article/00fb3992d4724e41b9091e5da97c22fd
Publikováno v:
Journal of Translational Medicine, Vol 19, Iss 1, Pp 1-11 (2021)
Abstract Background Post-translational modification (PTM) is a biological process that alters proteins and is therefore involved in the regulation of various cellular activities and pathogenesis. Protein phosphorylation is an essential process and on
Externí odkaz:
https://doaj.org/article/2de01af950424c4ab1a23e129cabccda
Autor:
Rajab Homsi, Mohammed Sanusi Shiru, Shamsuddin Shahid, Tarmizi Ismail, Sobri Bin Harun, Nadhir Al-Ansari, Kwok-Wing Chau, Zaher Mundher Yaseen
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 14, Iss 1, Pp 90-106 (2020)
The possible changes in precipitation of Syrian due to climate change are projected in this study. The symmetrical uncertainty (SU) and multi-criteria decision-analysis (MCDA) methods are used to identify the best general circulation models (GCMs) fo
Externí odkaz:
https://doaj.org/article/1d666de4f7d54c138edc85433d35bfdc
Publikováno v:
IEEE Access, Vol 8, Pp 17002-17012 (2020)
Interval-valued data (IVD) is a kind of data where each feature is an interval. The midpoint and boundary are the two commonly used methods for representing IVD. However, their structure information (such as location, size) may be incomplete because
Externí odkaz:
https://doaj.org/article/ea393f1fa8fc4f0bb6b5b5b8626c4653
Akademický článek
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Publikováno v:
Mathematics, Vol 10, Iss 2, p 230 (2022)
This research proposes a method to improve the capability of a genetic algorithm (GA) to choose the best feature subset by incorporating symmetrical uncertainty (SU) to rank the features and remove redundant features. The proposed method is a combina
Externí odkaz:
https://doaj.org/article/39ba9fd627c049469eb73d05b8d9d066
Hybrid Symmetrical Uncertainty and Reference Set Harmony Search Algorithm for Gene Selection Problem
Publikováno v:
Mathematics, Vol 10, Iss 3, p 374 (2022)
Selecting the most miniature possible set of genes from microarray datasets for clinical diagnosis and prediction is one of the most challenging machine learning tasks. A robust gene selection technique is required to identify the most significant su
Externí odkaz:
https://doaj.org/article/9f68914c2eb5453a9fbdcb58dd5c6f03
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Olga Solovei
Publikováno v:
Innovative Technologies and Scientific Solutions for Industries; No. 3 (21) (2022): INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES; 39-50
Современное состояние научных исследований и технологий в промышленности; № 3 (21) (2022): СОВРЕМЕННОЕ СОСТОЯНИЕ НАУЧНЫХ ИССЛЕДОВАНИЙ И ТЕХНОЛОГИЙ В ПРОМЫШЛЕННОСТИ; 39-50
Сучасний стан наукових досліджень та технологій в промисловості; № 3 (21) (2022): СУЧАСНИЙ СТАН НАУКОВИХ ДОСЛІДЖЕНЬ ТА ТЕХНОЛОГІЙ В ПРОМИСЛОВОСТІ; 39-50
Современное состояние научных исследований и технологий в промышленности; № 3 (21) (2022): СОВРЕМЕННОЕ СОСТОЯНИЕ НАУЧНЫХ ИССЛЕДОВАНИЙ И ТЕХНОЛОГИЙ В ПРОМЫШЛЕННОСТИ; 39-50
Сучасний стан наукових досліджень та технологій в промисловості; № 3 (21) (2022): СУЧАСНИЙ СТАН НАУКОВИХ ДОСЛІДЖЕНЬ ТА ТЕХНОЛОГІЙ В ПРОМИСЛОВОСТІ; 39-50
The subject of the article is feature selection techniques that are used on data preprocessing step before building machine learning models. In this paper the focus is put on a Filter technique when it uses Correlation-based Feature Selection (furthe
Publikováno v:
Revstat Statistical Journal, Vol 17, Iss 3 (2019)
The analysis of unreplicated factorial designs constitutes a challenging but difficult issue since there are no degrees of freedom so as to estimate the error variance. In the present paper we propose a method for screening active effects in such des
Externí odkaz:
https://doaj.org/article/ac0e5a5912624af4a94e599715a4a6ab