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Метод определения вероятностей прогнозируемых событий при принятии решений
Искусственный интеллект и принятие решений. 2016. № 2. С. 38–45.
Madera A. G.
Grebnev L., Вопросы философии 2026 № 7 С. 5–15
In the coming millennium, the transformation of our world has become a matter
of global concern. The first attempts to move in this direction were unsuccessful.
The globalization of economic activity is being replaced by the formation of relatively
autonomous macroregions. But it would be a mistake to assume on this
basis that joint dominion over the entire planet ...
Added: July 11, 2026
Троцкая И. А., Львова О. А., Короткова Е. В. et al., В кн.: Медицинское образование, наука, практика : Сборник статей X Международной научно-практической конференции молодых ученых и студентов, 22-23 апреля 2025 г. Т.2.: Екатеринбург: ФГБОУ ВО УГМУ Минздрава России, 2025. С. 673–679.
Pediatric ischemic stroke is considered to be a rare condition. Correct recognition of the acute symptoms
and further monitoring of the dynamics of them may allow predicting the child's development and further adaptation. The aim of the study was to provide clinical and imaging features of the acute period of ischemic stroke with debut at an ...
Added: March 2, 2026
Карелина М. Г., Mkhitarian V., Финансы и бизнес 2025 Т. 21 № 4 С. 49–65
Дизельное топливо играет важную роль в российской экономике, его значимость обусловлена высокой эффективностью, экономичностью, надежностью и широким спектром применения. Россия один из крупнейших вмире экспортеров дизельного топлива, что обеспечивает значительные поступления в бюджет страны и является геополитическим инструментом в рамках глобальных трансформационных процессов. Статистическая оценка развития российского рынка дизельного топлива в представленной работе проводилась в ...
Added: February 20, 2026
Shepelenko A., Kosonogov V., Shestakova A., Frontiers in Psychology 2026 Vol. 17 Article 1713462
Introduction:
Affective computing (AC) is increasingly used to study emotional processes underlying decision-making, yet its methodological validity in capturing spontaneous emotional responses and their behavioral relevance remains debated. In particular, it is unclear how facial obstructions and baseline correction affect the accuracy of AC-based facial emotion measures in capturing emotion–behavior relationships.
Methods:
The predictive validity of AC-based facial ...
Added: February 12, 2026
Ustyuzhanin V., Демографическое обозрение 2025 Т. 12 № 4 С. 100–122
Formal demographic analysis, including the construction of life tables, standardization of indicators, decomposition of changes, and modeling of demographic processes, requires complex calculations and data manipulation. Despite the advances in methods, many of them have not yet been implemented as ready-to-use, convenient tools in modern statistical environments. To address this issue, we present the demor ...
Added: December 30, 2025
Kopnova E., Журавлева К. А., Коряков И. В. et al., Журнал Белорусского государственного университета. Экономика 2025 № 1 С. 36–46
he article examines the prospects for economic cooperation between Russia and Belarus within the framework of the EAEU, SCO and BRICS integration associations, with an emphasis on the impact of sanctions and their consequences for the economic growth of the countries. The study includes the use of econometric modeling methods to evaluate the forecast of ...
Added: December 11, 2025
Пермь: Пермский государственный национальный исследовательский университет, 2024.
This collection presents the proceedings of the Ninth All-Russian Scientific and Practical Conference with International Participation, "Artificial Intelligence in Solving Current Social and Economic Problems of the 21st Century," which was held October 17–18, 2024, in Perm. The collection is intended for researchers and educators, lecturers, postgraduate and master's students, undergraduates, and anyone interested in ...
Added: November 19, 2025
Aleskerov F. T., Вайншток А. П., Дерендяев А. Б. et al., Информационные процессы 2025 Т. 25 № 3 С. 357–368
The consulting system for developing and making high-quality decisions by territorial authorities is a tool that provides up-to-date and reliable information on the processes and conditions of the population’s life, as well as tools for analyzing socio-economic indicators and infrastructure functioning. The analysis tools should help to identify problem situations ("bottlenecks") in ensuring the quality ...
Added: November 5, 2025
Smirnov S. V., Вопросы экономики 2025 № 10 С. 131–154
The paper summarizes machine-learning (ML) methods most relevant to macroeconomics and assesses their performance in forecasting and nowcasting key macro indicators. Despite rapid methodological progress and a surge of publications over the past 25 years, gains in forecast accuracy with traditional statistical (economic, financial, and survey) data remain modest. ML models often outperform naïve and ...
Added: October 12, 2025
Karacharovskiy V., Социологические исследования 2025 № 6 С. 3–14
The article evaluates the possibility of forecasting mass social attitudes based on the interest of the population for the eras in the development of the country. Historical eras and their symbols are considered as comparison standards, temporal analogues of reference groups that provide the mass consciousness with samples of “reserve” standards of living and standards ...
Added: August 12, 2025
Семаков С. Л., Семаков А. С., М.: Физматлит, 2012.
Рассматриваются методы прогнозирования и оперативного управления процессом продаж товара в торговых сетях. Работа будет интересна аналитикам и менеджерам торговых сетей, а также студентам вузов, предполагающим свою дальнейшую деятельность в качестве сотрудников торговых сетей. ...
Added: August 5, 2025
К прогнозированию вероятности невооруженной революционной дестабилизации методами машинного обучения
Медведев И. А., Korotayev A., Социология власти 2025 Т. 37 № 2 С. 108–141
The authors provide a broad overview of the main applications for machine learning methods in political sociology. They describe history of the transition from simple regression models to complex machine learning models. The reasons for and benefits of this transition are discussed. The authors identify the main uses of machine learning models in related disciplines and ...
Added: August 1, 2025
Андреева А. А., Utkin B., Grachev N. N. et al., В кн.: Шарыгинские чтения. Шестая международная научная конференция веду щих научных школ в области радиолокации, радионавигации и радио- электронных систем передачи информации.: Томск: Издательство Томского государственного университета систем управления и радиоэлектроники, 2024. С. 135–140.
A comparison of methods for constructing mathematical models of electrical contacts for studying the formation of contact radio interference is carried out. In particular, three main models of contact resistance control are considered, as well as their analysis and recommendations for their use in solving the problem of predicting contact radio interference are proposed. ...
Added: June 29, 2025
Kurakin D., Theory and Society 2025 Vol. 54 P. 579–608
Cultural structures can organize experience either independently of time—‘transversely’ to its flow—or temporally—‘longitudinally’ along it. Most existing concepts—binaries, codes, norms—represent the former. Temporal structuring is much less theorized. While sociologists frequently invoke ‘narratives,’ they often use the term loosely, as a more evocative synonym for beliefs or values (e.g., ‘ecological narrative’). Recent work in pragmatism ...
Added: June 10, 2025
Tatyana A. Alexeeva, Kuznetsov N., Mokaev T. et al., Chaos, Solitons and Fractals 2025 Vol. 196 Article 116371
Irregular dynamics (especially chaotic) is often undesirable in economics because it presents challenges for predicting and controlling the behavior of economic agents. In this paper, we used an overlapping generations (OLG) model with a control function in the form of government spending as an example, to demonstrate an effective approach to forecasting and regulating chaotic ...
Added: April 20, 2025
Panos Pardalos, Valery Kalyagin, Mario R. Guarracino, Computational Management Science 2024 Vol. 21 No. 1 Article 35
Big data has become an integral part of modern networks. With the increasing amount of data generated by devices, machines, and applications, networks are constantly being challenged to handle and process this data in a timely and efficient manner. The size, complexity, and variety of data in networks are increasing rapidly, which requires new approaches ...
Added: February 22, 2025
Габов М. А., Bukina T. V., Kashin D., Журнал Новой экономической ассоциации 2025 № 4(69) С. 87–117
The study aims to compare approaches to forecasting the monthly level of consumer price index (CPI y/y) in the regions of the Volga Federal District using time series models and machine learning methods. This study attempts to select the most appropriate and efficient models for predicting the regional general price level index. The paper also ...
Added: February 22, 2025
Popkov A., Dubnov Y. A., Popkov Y., Челябинский физико-математический журнал 2024 Т. 9 № 1 С. 144–159
Работа посвящена развитию метода рандомизированного машинного обучения в направлении оценивания динамических моделей связанных процессов с использованием реальных данных, один из которых рассматривается в качестве основного, а другой в качестве зависимого. Модель основного процесса в этой концепции реализуется динамической моделью на основе дифференциальных уравнений с параметрами, которые в свою очередь реализуются статической моделью в другой временной ...
Added: January 27, 2025
Grebnev L., Высшее образование в России 2024 Т. 33 № 12 С. 155–168
Using examples of the introduction of the Unified State Exam and participation
in the Bologna process, the article analyzes changes in the regulatory framework for budgetary
financing of education as a reaction to external circumstances. The role of the family and
educational institutions in fostering a sense of responsibility for decisions and the results of their
implementation is also ...
Added: January 22, 2025
Nikolai F., Сибирские исторические исследования 2022 № 2 С. 207–212
Instability of the boundaries between past, present and future has been hotly debated in historical theory since at least K. Popper's “The Poverty of Historicism”. A new twist in this debate is linked to R. Koselleck's concepts of the "horizon of expectations" and F. Hartog's presentism, as well as to the debate about trauma and ...
Added: January 8, 2025
Б.В. Уткин, Н.Н. Грачёв, Журнал Сибирского федерального университета. Серия: Техника и технологии 2024 Т. 17 № 8 С. 1077–1088
The following article presents an analysis of electromagnetic interference formation caused by the secondary electromagnetic re- emissions formed by radio electronic devices. Based on the results of the conducted research, a method for predicting the spectral characteristics of contact interference to a radio receiver is proposed. The methodology for predicting the spectral composition of contact ...
Added: December 28, 2024
Бодрова М. А., Berezner T., В кн.: Психология познания: материалы Всероссийской научной конференции. ЯрГУ, 6–8 декабря 2024 г. Материалы Всероссийской научной конференции памяти Дж. С. Брунера.: Яр.: ЯрГУ им. П. Г. Демидова, 2024. С. 70–74.
В работе исследуется влияние склонности к риску на точность метакогнитивного мониторинга и метакогнитивное чувство уверенности в выборе между долгосрочными и краткосрочными инвестициями. Предполагается, что склонные к риску испытуемые продемонстрируют большее смещение калибровки метакогнитивных оценок, переоценивая вероятность успеха краткосрочных инвестиций. Кроме того, ожидается, что склонность к риску также приведет к более высокому метакогнитивному чувству уверенности в своих ...
Added: December 28, 2024