Persons
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
 
Vorontsov, Konstantin Vyacheslavovich

Statistics Math-Net.Ru
Total publications: 16
Scientific articles: 13
Presentations: 24

Number of views:
This page:7758
Abstract pages:3474
Full texts:1197
References:372
Professor of Russian Academy of Sciences
Doctor of physico-mathematical sciences (2010)
Speciality: 05.13.17 (Theoretical foundation for informatics)
Birth date: 1.04.1971
E-mail:
Website: http://www.machinelearning.ru/wiki/index.php?title=Участник:Vokov
Keywords: machine learning, data mining, applied statistics, computational learning theory, generalization bounds, similarity-based classifiers, multiple classifiers systems, collaborative filtering.
UDC: 519.714, 519.712.63
MSC: 68T10, 93E35

Subject:

Combinatorial theory of empirical predictions and learning algorithms genaralization bounds. Weak probability axiomatic. Similarity-based and ensemble-based classification. Collaborative filterning and clients environment analysis. Support and development of wiki-site http://www.MachineLearning.ru.

Biography

1999: PhD thesis "The local bases in algebraical approach to recognition problem".

From 2001: Researcher, Computing Center of the Russian Academy of Sciences (CC RAS). Deputy director for research of FORECSYS comp.

From 2004: Assistant professor, deputy head of chair "Intelligent systems" of the department of Control/Management and Applied Mathematics of Moscow Institute of Physics and Technology.

   
Main publications:
  1. Rudakov K. V., Vorontsov K. V., “Methods of optimization and monotone correction in the algebraic approach to the recognition problem”, Doklady Mathematics, 60:1 (1999), 139  zmath
  2. Vorontsov K. V., “Combinatorial substantiation of learning algorithms”, Comp. Maths Math. Phys., 44:11 (2004), 1997–2009  mathscinet  zmath; http://www.ccas.ru/frc/papers/voron04jvm-eng.pdf
  3. Vorontsov K. V., “Combinatorial bounds for learning performance”, Doklady Mathematics, 69:1 (2004), 145–148  zmath; http://www.ccas.ru/frc/papers/voron04qualdan-eng.pdf
  4. Kanevskiy D. Y., Vorontsov K. V., “Cooperative coevolutionary ensemble learning”, Multiple Classifier Systems, 7th International Workshop (Prague, Czech Republic, May 23–25, 2007), Lecture Notes in Computer Science, Springer-Verlag, 2007, 469–478  crossref; http://www.ccas.ru/frc/papers/kanevskiy07ccel.pdf
  5. Vorontsov K. V., “Combinatorial probability and the tightness of generalization bounds”, Pattern Recognition and Image Analysis, 18:2 (2008), 243–259  crossref; http://www.springerlink.com/content/78537p01838123u7

https://www.mathnet.ru/eng/person42083
https://ru.wikipedia.org/wiki/%D0%92%D0%BE%D1%80%D0%BE%D0%BD%D1%86%D0%BE%D0%B2,_%D0%9A%D0%BE%D0%BD%D1%81%D1%82%D0%B0%D0%BD%D1%82%D0%B8%D0%BD_%D0%92%D1%8F%D1%87%D0%B5%D1%81%D0%BB%D0%B0%D0%B2%D0%BE%D0%B2%D0%B8%D1%87
List of publications on Google Scholar
List of publications on ZentralBlatt
https://mathscinet.ams.org/mathscinet/MRAuthorID/600263
https://elibrary.ru/author_items.asp?authorid=15081
ISTINA https://istina.msu.ru/workers/3151446
https://orcid.org/0000-0002-4244-4270
https://www.webofscience.com/wos/author/record/G-7857-2014
https://www.scopus.com/authid/detail.url?authorId=6507982932
https://www.researchgate.net/profile/Konstantin-Vorontsov-2

Publications in Math-Net.Ru Citations
2024
1. Sh. Kh. Ishkina, K. V. Vorontsov, A. Ya. Davletbaev, V. P. Miroshnichenko, “Application of the combinatorial generalization ability estimates in planning tracer testing studies in oil and gas fields”, Artificial Intelligence and Decision Making, 2024, no. 1,  68–78  mathnet
2022
2. K. Ya. Khrylchenko, K. V. Vorontsov, “Optimizing modality weights in topic models of transactional data”, Avtomat. i Telemekh., 2022, no. 12,  44–62  mathnet; Autom. Remote Control, 83:12 (2022), 1908–1922
3. N. A. Skachkov, K. V. Vorontsov, “Improving the quality of machine translation using the reverse model”, Avtomat. i Telemekh., 2022, no. 12,  31–43  mathnet  mathscinet; Autom. Remote Control, 83:12 (2022), 1897–1907
4. N. A. Gerasimenko, A. S. Chernyavsky, M. A. Nikiforova, M. D. Nikitin, K. V. Vorontsov, “Incremental learning of topic models for finding trend topics in scientific publications”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022),  106–108  mathnet  elib; Dokl. Math., 106:suppl. 1 (2022), S97–S98
2021
5. Sh. Kh. Ishkina, Sh. Kh. Ishkina, K. V. Vorontsov, “Sharpness estimation of combinatorial generalization ability bounds for threshold decision rules”, Avtomat. i Telemekh., 2021, no. 5,  151–168  mathnet  elib; Autom. Remote Control, 82:5 (2021), 863–876  isi  scopus 2
2020
6. I. A. Irkhin, V. G. Bulatov, K. V. Vorontsov, “Additive regularizarion of topic models with fast text vectorizartion”, Computer Research and Modeling, 12:6 (2020),  1515–1528  mathnet 3
7. I. A. Irkhin, K. V. Vorontsov, “Convergence of the Algorithm of Additive Regularization of Topic Models”, Trudy Inst. Mat. i Mekh. UrO RAN, 26:3 (2020),  56–68  mathnet  elib; Proc. Steklov Inst. Math. (Suppl.), 315, suppl. 1 (2021), S128–S139  isi  scopus 2
2019
8. A. V. Sukhareva, K. V. Vorontsov, “Building a complete set of topics of probabilistic topic models”, Intelligent systems. Theory and applications, 23:4 (2019),  7–23  mathnet 1
2012
9. K. V. Vorontsov, A. A. Potapenko, “Regularization, robustness and sparsity of probabilistic topic models”, Computer Research and Modeling, 4:4 (2012),  693–706  mathnet 14
2004
10. K. V. Vorontsov, “The combinatorial substantiation of learning algorithms”, Zh. Vychisl. Mat. Mat. Fiz., 44:11 (2004),  2099–2112  mathnet  mathscinet  zmath; Comput. Math. Math. Phys., 44:11 (2004), 1997–2009 2
2000
11. K. V. Vorontsov, “Optimization methods for linear and monotone correction in the algebraic approach to the recognition problem”, Zh. Vychisl. Mat. Mat. Fiz., 40:1 (2000),  166–176  mathnet  mathscinet  zmath; Comput. Math. Math. Phys., 40:1 (2000), 159–168 8
1998
12. K. V. Vorontsov, “The task-oriented optimization of bases in recognition problems”, Zh. Vychisl. Mat. Mat. Fiz., 38:5 (1998),  870–880  mathnet  mathscinet  zmath; Comput. Math. Math. Phys., 38:5 (1998), 838–847 3
1995
13. K. V. Vorontsov, “Preliminary data processing for solving a special class of pattern recognition problems”, Zh. Vychisl. Mat. Mat. Fiz., 35:10 (1995),  1564–1575  mathnet  mathscinet  zmath; Comput. Math. Math. Phys., 35:10 (1995), 1259–1267  isi

2022
14. K. V. Vorontsov, A. N. Gromov, M. I. Zabezhailo, A. S. Inyakin, A. A. Lazarev, D. V. Lemtyuzhnikova, I. A. Sokolov, V. V. Strijov, Yul. V. Chekhovich, Yu. V. Chekhovich, “Foreword of the program committee of the conference “Mathematical pattern recognition methods””, Avtomat. i Telemekh., 2022, no. 10,  3–8  mathnet  mathscinet; Autom. Remote Control, 83:10 (2022), 1491–1495
2021
15. K. V. Vorontsov, Yu. I. Zhuravlev, A. A. Lazarev, D. V. Lemtyuzhnikova, K. V. Rudakov, V. V. Strijov, Yul. V. Chekhovich, Yu. V. Chekhovich, “Opening remarks by the Program Committee of the Conference “Intelligent Data Processing. Theory and Applications” (IDP-2020)”, Avtomat. i Telemekh., 2021, no. 10,  3–5  mathnet; Autom. Remote Control, 82:10 (2021), 1633–1634  isi  scopus
16. K. V. Vorontsov, Yu. I. Zhuravlev, M. I. Zabezhailo, A. I. Maĭsuradze, A. S. Pushnyakov, I. A. Sokolov, A. L. Semenov, R. Takhanov, I. Yu. Torshin, A. A. Cherepnin, Yu. V. Chekhovich, “In memory of Konstantin Vladimirovich Rudakov (21.06.1954 – 10.07.2021)”, Computer Research and Modeling, 13:4 (2021),  675–676  mathnet; Computer Research and Modeling, 13:4 (2021), 675–676

Presentations in Math-Net.Ru
1. Фундаментальные проблемы технологий искусственного интеллекта
K. V. Vorontsov
General Meeting of the Branch of Mathematical Sciences, RAS, 2023
December 11, 2023 13:30   
2. Обзор задач искусственного интеллекта: от обучения персептрона до многокритериальной оптимизации векторных представлений сложно структурированных данных
K. V. Vorontsov

October 27, 2022   
3. Математические методы понимания естественного языка для мониторинга медиа-пространства
K. V. Vorontsov
General Meeting of the Branch of Mathematical Sciences, RAS, 2021
December 13, 2021   
4. Bayesian and classical regularization in probabilistic thematic modeling
K. V. Vorontsov
Actual Problems of Applied Mathematics
February 19, 2021   
5. Обзор постановок оптимизационных задач машинного обучения
K. V. Vorontsov

June 3, 2020 17:30   
6. Тематические векторные представления текста и разведочный информационный поиск
K. V. Vorontsov
Mathematical Workshop of the School of Applied Mathematics and Computer Science (MIPT)
September 20, 2019 18:30   
7. Задачи математического программирования в анализе текстов
K. V. Vorontsov
IX Moscow International Conference on Operations Research (ORM2018-Germeyer100)
October 22, 2018 12:15   
8. Машинное обучение: шаг в цифровую экономику
K. V. Vorontsov

October 16, 2017 18:30   
9. Многокритериальный тематический анализ текстовых коллекций
Константин Воронцов
Colloquium of the Faculty of Computer Science
October 5, 2017 18:10   
10. Школа Прикладной Математики и Информатики МФТИ - Перспективы Развития
A. M. Raigorodskii, V. V. Strijov, K. V. Vorontsov
Mathematical Workshop of the School of Applied Mathematics and Computer Science (MIPT)
March 31, 2017 18:30   
11. Теория, алгоритмы и приложения вероятностного тематического моделирования
K. V. Vorontsov
Mathematical Workshop of the School of Applied Mathematics and Computer Science (MIPT)
November 11, 2016 18:30   
12. Теоретические и прикладные аспекты статистического обучения
K. V. Vorontsov
Conference of Professors of the RAS in the Department of Mathematical Sciences of the Russian Academy of Sciences
June 14, 2016 11:20   
13. Модели и методы интеллектуального анализа данных
K. V. Rudakov, K. V. Vorontsov
International Conference on Applied Mathematics and Computer Science dedicated to the 60th Anniversary of Dorodnicyn Computing Centre of RAS
December 9, 2015 11:20   
14. Аддитивно регуляризованные тематические модели и разведочный поиск знаний в сети
K. V. Vorontsov

June 19, 2015 09:00   
15. Обучение наивного Байеса
K. V. Vorontsov

June 17, 2015 17:30   
16. Multicriteria Regularization for Probabilistic Topic Modeling of Large Text Collections
K. V. Vorontsov
International conference "Optimization and Applications in Control and Data Science" on the occasion of Boris Polyak's 80th birthday
May 14, 2015 11:00   
17. Матричные разложения и вероятностное тематическое моделирование
K. V. Vorontsov

June 27, 2014 12:00   
18. Методы статистического обучения для диагностики заболеваний по электрокардиограмме
K. V. Vorontsov

June 26, 2014 15:00   
19. Additive Regularization for Probabilistic Topic Modelling
K. V. Vorontsov
Advances in Optimization and Statistics
May 15, 2014 14:20   
20. Многокритериальная регуляризация вероятностных тематических моделей коллекций текстовых документов
K. V. Vorontsov
Problems in Stochastic Analysis
April 19, 2014 11:00   
21. О некоторых задачах и методах интеллектуального анализа данных
K. V. Vorontsov
Mathematical Seminar
February 25, 2014 18:30   
22. Combinatorial theory of overfitting
K. V. Vorontsov
International Workshop on Statistical Learning
June 28, 2013 10:30   
23. Комбинаторная теория переобучения
K. V. Vorontsov
Problems in Stochastic Analysis
April 13, 2013 11:00   
24. Combinatorial Theory of Overfitting
K. V. Vorontsov
PreMoLab Seminar
May 24, 2012 17:00

Organisations
 
  Contact us:
 Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024