• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • Using Probability Distribution over Classes in Automatically Obtained Training Corpora
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2028
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Using Probability Distribution over Classes in Automatically Obtained Training Corpora

P. 90–93.
Durandin O., Hilal N., Strebkov D., Zolotykh N.

The paper contains a take on the classification problem variation featuring class noise where each object in the training set is associated with a probability distribution over the class label set instead of a particular class label. That type of task was illustrated on the complex natural language processing problem – automatic Arabic dialect classification. In the task we have a set of objects that were labeled by a heuristic rule; which could cause errors during automatic annotation process. Suggested approach allows taking into account probabilities of these errors. Described experiments show that even relatively simple accounting of that probabilities helps to significantly improve the quality of the built classifier.

Language: English
Full text
Text on another site
Keywords: natural language processingmachine learningclassificationDialects of Arabic

In book

Proceedings of the ISMW-FRUCT 2016
[б.и.], 2016.
Similar publications
Scalable machine learning approach to disordered s-wave superconductors
Неверов В. Д., Красавин А. В., Vagov A. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 P. 1–6
We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...
Added: September 5, 2026
Сборник материалов Второго международного научно-практического форума «Преподавание арабского языка в современном мире: традиции и инновации»
Издательство Центра современных образовательных технологий, 2025.
This collection contains materials from the Second International Scientific and Practical Forum "Teaching Arabic in the Modern World: Traditions and Innovations," held on November 15-16, 2025, by the Sheikha Fatima bint Mubarak Educational Center at the E.M. Primakov Regional Gymnasium, an autonomous non-profit general education organization, in partnership with the Institute of Oriental Studies of the ...
Added: July 28, 2026
Can Humor Reveal Dark Personalities? Machine-Learning Detection of the Dark Tetrad
Glinkina L. S., Doptan E., Kosonogov V., Journal of Individual Differences 2026 No. 47(3) P. 132–143
This study investigates a novel method for assessing Dark Tetrad personality traits (Machiavellianism, Narcissism, Psychopathy, Everyday Sadism) through humor evaluation. Traditional self-report measures are limited by response biases, creating a need for indirect behavioral assessment. We hypothesized that individual differences in these traits would correlate with distinct patterns in evaluating visual humor (funniness, perceived kindness/cruelty, ...
Added: July 8, 2026
The Use of the Missing Sample Simulation Modeling to Create a Classification Model for Three or More Classes by the Example of the Carbohydrate Metabolism Disorder Degree Detection Problem
Новиков Р. С., Novopashin M., Pozin B., Programming and Computer Software 2026 Vol. 52 No. 1 P. 28 – 38
Added: June 26, 2026
Machine Learning Approach to Anticancer Activity Prediction of Transition-Metal Complexes Based on a Large-Scale Experimental Database
Krasnov L., Malikov D., Kiseleva M. et al., Journal of Medicinal Chemistry 2026 Vol. 69 No. 8 P. 8838–8851
In this work, we developed a straightforward data-driven approach to predict the cytotoxicity of metal complexes based entirely on their (metal + ligands) composition. To this end, we have manually curated MetalCytoToxDB─a comprehensive experimental database comprising 26,500 IC50 values for 7050 metal complexes against 754 cell lines from 1921 articles. Based on these, machine learning ...
Added: April 23, 2026
Особые экономические зоны Российской Федерации: моделирование решений потенциальных резидентов и процесса их генерации
Plesovskikh A., Journal of Applied Economic Research 2023 Т. 22 № 2 С. 323–354
Modern studies widely discuss the role of special economic zones in stimulating the economic growth and development of Russia, generating the necessary investment flows and increasing the country's innovative potential by expanding production in high-tech sectors of the economy with high added value. The purpose of the study is to model the process of generating ...
Added: April 13, 2026
Replacing Criterion of Creativity with Criterion of Investment for Results Created by Artificial Intelligence
Pakshin P., Legal Issues in the Digital Age 2026 Vol. 7 No. 1 P. 32–48
Artificial intelligence plays a significant role in automation, minimizing human intervention in fields such as medicine, art, and law. Despite the historically close relationship between art and technology, generative AI has expanded the potential for creative activity. A significant catalyst for this process has been the proliferation of pre-trained AI systems, which have accelerated the ...
Added: March 31, 2026
A Tool for Mass Generation of Random Step Environment Models with User-Defined Landscape Features
Gabdrahmanov R., Tsoy T., Martinez-Garcia E. et al., , in: Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - (Volume 1) ICINCO 2024.: SciTePress, 2024. P. 511–518.
Computer simulations are growing in popularity in robotics research due to their near-zero cost of error and lower labor intensity. One of necessary components of a simulation, in addition to a robot model, is a model of a world in which the robot operates. While it is always possible to construct a world model manually, ...
Added: March 17, 2026
Real-Bogus Classification for ZTF Data Releases: Two Approaches
Semenikhin T., Kornilov M., Pruzhinskaya M. et al., , in: 26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024, Revised Selected Papers. Data Analytics and Management in Data Intensive Domains. (CCIS, volume 2641).: Springer, 2026. P. 211–219.
We considered two fundamentally different approaches to real-bogus classification within the Zwicky Transient Facility survey data. The first approach is based on neural networks that take sequences of object images as input. The second approach uses features extracted from light curves and classical machine learning methods. Several models for both approaches were tested. Quality metrics ...
Added: March 11, 2026
Кластеризация паттернов потребления электроэнергии умного дома на основе ансамблевых методов машинного обучения
Maltseva S. V., Бериков В. Б., Кладов Д. Е. et al., В кн.: Информатика и прикладная математика: Материалы X Международной научно-практической конференции (08.10 - 11.10.2025 г.)Т. 1: Сборник материалов часть 1.: Алматы: Институт информационных и вычислительных технологий КН МНВО РК, 2025. С. 227–232.
This paper examines the problem of clustering consumption patterns for a private household. An ensemble algorithm based on the Wasserstein metric was developed and applied to cluster daily load profiles. The proposed approach allows for identifying typical energy consumption scenarios and interpreting consumer behavior. Results from computational experiments using real data are presented. ...
Added: March 3, 2026
RuCLEVR: A Russian Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Biryukova K., Chelnokova D., Erkenova J. et al., Communications in Computer and Information Science 2024 Vol. 2364 CCIS P. 109 – 121
Added: February 25, 2026
Terra incognita: йольские языки (langues d’oïl)
Бестолкова Г. В., Вестник Донецкого национального университета. Филология и психология 2025 № 6 С. 62–73
The research paper objective is to formulate and integrate the term “langues d’oïl” into contemporary   Russian Romance studies’ conceptual framework in order to expand Romance languages’ scientific knowledge.   In accordance with this goal, the given paper involves a number of objectives: term “langues d’oïl” formation’s   historical background analysis; regional languages’ area description in modern France; comprehensive description   of “French ...
Added: February 23, 2026
Территориальная вариативность окситанского языка: классификация северных диалектов
Бестолкова Г. В., Теория языка и межкультурная коммуникация 2023 № 3(50) С. 1–15
Significant role in modern Occitan language’s development is played by variety of dialects, subdialects and colloquial speech, that determines relevance of the study undertaken in this article. Occitan language dialects’ number is large, therefore only its northern dialects are considered in detail within this article. The material contained in the article allows to form a ...
Added: February 15, 2026
Classification Approach to Mapping Cultural Differences: An Illustration Using Survey Data from 60 Russian Regions
Nastina E., Sokolov B., / Series OSF "SocArXiv". 2025.
We argue that a classification-based approach to measuring cultural differences across countries or subnational regions is a promising complement, and sometimes an alternative, to the widely used dimensional method in cross-cultural research. The latter summarises cultural variation using continuous dimensions, for example, Hofstede’s famous individualism-collectivism dimension. However, this approach relies on strong parametric assumptions, which are ...
Added: December 23, 2025
Method of Automated Dataset Collection for Microwave Filters Synthesis
Arinin O. V., Bakhmach D. M., Katsnelson A. et al., , in: 2025 Systems of Signals Generating and Processing in the Field of on Board Communications.: IEEE, 2025. P. 1–5.
This research discusses the method of dataset collection automatization for microwave filter synthesis by integrating machine learning techniques, thus reducing development time. Utilizing the 3D electromagnetic analysis software package, the study involves simulation and collecting geometric parameters and amplitude-frequency characteristics from three variants of passband highly selective microstrip tworesonator combined filters with stepped impedance resonators. ...
Added: December 6, 2025
ОТСЛЕЖИВАНИЕ РАЗВИТИЯ РАЗРУШЕНИЯ С ПОМОЩЬЮ КЛАСТЕРИЗАЦИИ ИМПУЛЬСОВ ТЕРМИЧЕСКИ СТИМУЛИРОВАННОЙ АКУСТИЧЕСКОЙ ЭМИССИИ ПРИ ОТСУТСТВИИ ЛОКАЦИИ
Индаков Г. С., Казначеев П. А., Майбук З. Я. et al., Геофизические исследования 2025 Т. 26 № 2 С. 99–124
The paper studies the clusterability of acoustic emission pulses during high-temperature heating of sandstone sample preliminarily subjected to mechanical loading. Mechanical loading was applied in uniaxial mode up to load close to destructive with appearance of signs of large cracks on the surface. After that, samples were subjected to thermal treatment up to 650 °C ...
Added: September 19, 2025
Rewriting the Rules: LLMs Vs. Traditional ML in University Admissions
Chepikov I., Karpov I., , in: 26th International Conference, AIED 2025, Palermo, Italy, July 22–26, 2025, Proceedings, Part I. Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED.: Springer, 2025. P. 352 – 358.
Modern LLM models such as BERT, ChatGPT, DeepSeek have shown great potential in solving various tasks, including text classification, text generation, analysis and summary of documents. In this paper, we show that these models close to classical ML approaches based on decision trees not only in text processing, but also in processing classical tabular data ...
Added: September 4, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics
Wien: Association for Computational Linguistics, 2025.
Added: August 26, 2025
Analysis of a Company Model in Conditions of Unstable Demand Using Reinforcement Learning Methods
Delev A., Semakov S., , in: 2025 8th International Conference on Artificial Intelligence and Big Data (ICAIBD).: IEEE, 2025. P. 318–322.
Profit is one of the most important economic indicators of a company’s performance, and for every company it is necessary to allocate resources in such a way as to obtain the maximum possible profit. The profit maximization problem is usually a dynamic optimization problem. This article discusses an approach to solving the production expansion problem ...
Added: August 25, 2025
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit