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Исследование точности метода градиентного бустинга со случайными поворотами.
Экономика, статистика и информатика. Вестник УМО. 2016. № 4. С. 22-26.
Kitov V. V.
In press
Gradient boosting method with random rotations is considered, where before training each base learner random rotation is applied to the feature space. The accuracy metric of the given method is estimated for a broad range of generated problems of binary classification. Obtained results are evaluated and recommendations given for application of this method.
Emmanuel I. C., Mitrofanova E., / Cornell Tech. Series 4064475 "ArXiv Preprint". 2022.
The paper is devoted to the study of the model fairness and process fairness of the Russian demographic dataset by making predictions of divorce of the 1st marriage, religiosity, 1st employment and completion of education. Our goal was to make classifiers more equitable by reducing their reliance on sensitive features while increasing or at least ...
Added: May 31, 2022
Krylov V., Krylov S., Journal of Physics: Conference Series 2018 Т. 1117 № conference 1
Reservoir Computing (RC) is taking attention of neural networks structures developers because of machine learning algorithms are simple at the high level of generalization of the models. The approaches are numerous. RC can be applied to different architectures including recurrent neural networks with irregular connections that are called Echo State Networks (ESN). However, the existence ...
Added: November 15, 2018
Bulychev A., Сомов О. Д., В кн. : Информатика, управление и системный анализ: Труды V Всероссийской научной конференции молодых ученых с международным участием. : Ростов н/Д : Ростовский государственный экономический университет "РИНХ", 2018. С. 94-102.
In the process of developing an information system for logistics transportation, there is a need to determine the initial rating of the new carrier within the parent company. The presence of the rating helps to more accurately carry out the formation of orders and build forecasts of its interaction with the parent company in the ...
Added: September 3, 2019
Vlasenko D., Zaikin A., Zakharov D., Известия высших учебных заведений. Прикладная нелинейная динамика 2023 Т. 31 № 5 С. 661-669
Because the brain is an extremely complex hypernet of interacting macroscopic subnetworks, full-scale analysis of brain activity is a daunting task.Nevertheless,this task can be greatly simplified by analysing the correspondence between various patterns of macroscopic brain activity, forex ample,through functional magneticresonance imaging(fMRI) scans, and the performance of particular cognitive tasks or pathological states.The purpose of ...
Added: October 4, 2023
Елисеев Д. А., Romanov D. A., Открытые системы. СУБД 2018 № 2 С. 42-44
В сфере госзакупок обращаются огромные денежные средства, и сегодня прикладываются большие усилия для обеспечения мониторинга процесса выполнения контракта — своевременное управление рисками может позволить сэкономить миллиарды рублей. Точная модель автоматизированной оценки рискованности государственных контрактов, построенная на базе алгоритмов машинного обучения, может помочь повысить эффективность государственных закупок. ...
Added: December 19, 2018
Kashnitsky Y., Ignatov D. I., Интеллектуальные системы. Теория и приложения 2015 Т. 19 № 4 С. 37-55
The paper makes a brief introduction into multiple classifier systems and describes a particular algorithm which improves classification accuracy by making a recommendation of an algorithm to an object. This recommendation is done under a hypothesis that a classifier is likely to predict the label of the object correctly if it has correctly classified its ...
Added: December 7, 2015
Bukina T. V., Kashin D., Экономический журнал Высшей школы экономики 2024 Т. 28 № 1 С. 81-107
The paper reveals the forecasts for regional inflation based on the regions of the Privolzhskiy Federal District (PFD). The purpose of the study is to determine the model that most accurately predicts regional inflation. The paper compares the tools of machine learning – support vector machines, gradient boosting, and random forest – with econometric models ...
Added: February 13, 2024
Istratov A., Хоменко И. И., Погодин А. В. et al., Вестник НПО им. С.А. Лавочкина 2017 № 4 С. 68-75
Рассматривается подход к прогнозированию температурных показателей оборудования космического аппарата (КА) в ходе выполнения научной программы для предотвращения перегрева. Предлагаются алгоритмы обработки данных, накопленных в ходе эксплуатации КА для определения температурных значений компонентов в указанные моменты времени. Представляется реализация программного комплекса. Проведенные эксперименты подтвердили возможность выявления аномальных тепловых режимов эксплуатации КА. ...
Added: January 12, 2018
Аслаханов А. Р., Pavlova E., Логистика и управление цепями поставок 2020 № 4 (99) С. 29-38
In recent years, both in Russia and in the world, there has been an annual increase in the number of museum visitors. The most popular exhibitions are visited by millions of people. In 2020, in the context of quarantine measures caused by the COVID-19 epidemic, the issue of managing the museum's visitors’ flows has become ...
Added: September 29, 2020
Ignatov D. I., Zhuk R., Konstantinova N., , in : Proceedings of The 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2014, 11-14 August 2014 Warsaw, Poland. : Los Alamitos, Washington, Tokyo : IEEE Computer Society, 2014. P. 474-480.
We propose extensions of the classical JSM-method andtheNa ̈ıveBayesianclassifierforthecaseoftriadicrelational data. We performed a series of experiments on various types of data (both real and synthetic) to estimate quality of classification techniques and compare them with other classification algorithms that generate hypotheses, e.g. ID3 and Random Forest. In addition to classification precision and recall we also ...
Added: June 9, 2014
Lozinskaia A. M., Жемчужников В. А., Perm University Herald. Economy 2017 Vol. 12 No. 1 P. 49-60
The ability to predict the dynamics of financial instruments is an important topic for financial market players. In the context of large and heterogeneous information, there is a need to use effective methods to data processing for management decision-processing. In particular, machine learning techniques are becoming very popular in financial modeling. The aim of this ...
Added: December 24, 2016
Ezhov G., Klemashev N., , in : Innovative Information Technologies: Materials of the International scientific-practical conference. Part 3. * 3.: M. : HSE, 2014. P. 363-367.
This paper addresses the issue of predicting financial instability of a commercial bank. We provide a model for predicting the value of the leading indicator of the event of mass withdrawal of deposit accounts from a commercial bank ...
Added: March 5, 2019
Zhuk R., Ignatov D. I., Konstantinova N., Procedia Computer Science 2014 Vol. 31 P. 928-938
We propose extensions of the classical JSM-method and the Na ̈ıve Bayesian classifier for the case of triadic relational data. We performed a series of experiments on various types of data (both real and synthetic) to estimate quality of classification techniques and compare them with other classification algorithms that generate hypotheses, e.g. ID3 and Random ...
Added: June 9, 2014
Aksiotis V., Kharitonova A., Видяйкина А. А. et al., В кн. : Материалы Международного молодежного научного форума «ЛОМОНОСОВ-2022». : М. : МАКС Пресс, 2022. С. 1-2.
Numerous modern studies are aimed at creating a tool that is effective in classifying and recognizing emotions and their facial expressions based on electromyography (EMG). Technological developments in the field of virtual reality are underway to optimize human-computer interaction. Based on the results of changes in the electrical activity of the muscles, a judgment is ...
Added: October 26, 2022
Natalia Sizykh, Said Dandamaev, Dmitry Sizykh, , in : 16th International Conference Management of large-scale system development (MLSD). : IEEE, 2023. P. 1-5.
Forecasting data and research on cryptocurrency price forecasting methods are increasing in importance. So far, methods based on LSTM deep learning architecture have shown the best results in forecasting cryptocurrency prices. In order to improve the accuracy of forecasting data, this paper investigates the application of a multivariate multistep forecasting method based on the LSTM ...
Added: December 22, 2023
Suvorova A., Смирнова К. Р., Будин Е. А. et al., Компьютерные инструменты в образовании 2018 № 3 С. 49-64
The article describes a student research project on predicting the class of a post on a social network based on its textual content. The features of the project are discussed as an integral part of the trajectory of teaching data analysis methods, including text analysis methods and tools that are often not included in machine ...
Added: January 28, 2019
Belov A. V., Ekaterina A. Melekhova, Vorontsova T., , in : 2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS). : St. Petersburg : IEEE, 2022. P. 219-223.
The paper deals with the problem of improving the quality of metal products. Nowadays destructive methods of quality control of the steel billets prevail at metallurgical enterprises. This approach to assessing the quality of the steel billets is wasteful, which increases its cost. One of the ways to reduce the cost of production of metal ...
Added: January 28, 2023
Kychkin A., Oleg Gorshkov, Mikhail Kukarkin, , in : 2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). : Sochi : IEEE, 2022. P. 1045-1050.
With the development of Industry 4.0, it is necessary to search and develop IoT platforms for monitoring, control, and management of industrial enterprises' impact on atmospheric air. The proposed platform can be used to create unified integrated solutions for pollution monitoring, online analysis of statistics and forecasting the dynamics of atmospheric air pollution, as well ...
Added: August 6, 2022
Лагутаева Д. А., Tretyak O., Григорьев А. Ю., Российский журнал менеджмента 2016 Т. 14 № 4 С. 3-20
This paper addresses the question of existence of relationships between usage of contemporary marketing practices and profitability for companies operating on the Russian market. To address this issue, we utilize an artificial intelligence method that so far was barely present in marketing and management science. The paper is not only promoting a novel research method, ...
Added: March 2, 2017
Sviyazov V., Экономический журнал Высшей школы экономики 2023 Т. 27 № 3 С. 412-434
The problem of volatility forecasting with and without consideration of weekly seasonality effect (the weekend effect) is examined in this research. The question of the seasonality existence is understood in the following sense: do models, which incorporate seasonality, feature better forecasts? The fuzzy GARCH model, which accounts for a weekly seasonality effect is presented in ...
Added: October 28, 2023
Lipatov M., Вестник Московского университета. Серия 1: Математика. Механика 2013 № 2 С. 39-42
We classify complex linear cocycles over ergodic automorphisms with the help of the barycenter method. A conjugating random matrix is built in explicit form. ...
Added: April 19, 2013
Berlin : Springer, 2014
This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and ...
Added: November 13, 2014
Новиков О. В., Прикладная информатика 2013 № 5(47) С. 29-34
This article represents different techniques for building fast recommender systems based on dimension reduction and classification of web-site usage data. Description of different web-site types that use recommender systems is provided. ...
Added: October 28, 2013
Buzmakov A. V., В кн. : МАШИННОЕ ОБУЧЕНИЕ В ИССЛЕДОВАНИЯХ МЕДИКО-БИОЛОГИЧЕСКИХ И СОЦИАЛЬНО-ЭКОНОМИЧЕСКИХ ДАННЫХ. : СПб. : Федеральное государственное автономное образовательное учреждение высшего образования "Санкт-Петербургский политехнический университет Петра Великого", 2020. С. 284-333.
In many practical tasks it is needed to estimate an effect of treatment on individual level. For example, in medicine it is essential to determine the patients that would benefit from a certain medicament. In marketing, knowing the persons that are likely to buy a new product would reduce the amount of spam. In this ...
Added: December 7, 2021