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July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
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HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Метод максимального правдоподобия для обобщения нечетких множеств в таксономиях

.
Mirkin B., Ajrapetyan Z., Frolov D.
Language: Russian
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Keywords: спектральная кластеризацияаннотированные суффиксные деревьяметоды обобщенияиерархическая таксономия

In book

Всероссийская научная конференция «Математические основы информатики и информационно-коммуникационных систем»
Тверь: [б.и.], 2022.
Similar publications
Всероссийская научная конференция «Математические основы информатики и информационно-коммуникационных систем»
Тверь: [б.и.], 2022.
Сборник содержит материалы, представленные на всероссийской научной конференции «Математические основы информатики и информационно-коммуникационных систем». ...
Added: November 18, 2022
A Hybrid Cluster-Lift Method for the Analysis of Research Activities
Mirkin B., Fenner T., Nascimento S. et al., Lecture Notes in Computer Science 2010 Vol. 6076 No. 1 P. 152–161
A hybrid of two novel methods - additive fuzzy spectral clustering and lifting method over a taxonomy - is applied to analyse the research activities of a department. To be specific, we concentrate on the Computer Sciences area represented by the ACM Computing Classification System (ACM-CCS), but the approach is applicable also to other taxonomies. ...
Added: November 14, 2012
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