?
Voting: a machine learning approach
Impressum
,
2020.
No. 145.
Clemens Puppe, Burka D., Szepesváry L., Tasnádi A.
Voting rules can be assessed from quite different perspectives: the axiomatic, the pragmatic, in terms of computational or conceptual simplicity, susceptibility to manipulation, and many others aspects. In this paper, we take the machine learning perspective and ask how ‘well’ a few prominent voting rules can be learned by a neural network. To address this question, we train the neural network to choosing Condorcet, Borda, and plurality winners, respectively. Remarkably, our statistical results show that, when trained on a limited (but still reasonably large) sample, the neural network mimics most closely the Borda rule, no matter on which rule it was previously trained. The main overall conclusion is that the necessary training sample size for a neural network varies significantly with the voting rule, and we rank a number of popular voting rules in terms of the sample size required.
Козлов А. А., Vlasov A., Научно-исследовательский финансовый институт. Финансовый журнал 2019 Т. 47 № 1 С. 76-87
In the field of cryptoeconomics the Ethereum (Ethereum Foundation) project gave opportunity to create “own” cryptocurrency – new token based on its smart-contract platform to everyone without lowlevel programming skills. Then it became obvious that tokens could be used for crowdfunding as the Ethereum did in 2014. Unregulated and easy to access such scheme became popular among related to ...
Added: November 5, 2020
Kuznetsov V. O., Логистика и управление цепями поставок 2018 № 4 (87) С. 27-33
One of the options for a more flexible approach to analyzing the reliability of supply chains is the principal component analysis (PCA). With a large number of variables describing supply chain, it is a difficult task to analyze the structure of variables in two-dimensional space. Within the analysis of the variables dependencies PCA allows to ...
Added: November 29, 2018
Karminsky A. M., Burekhin R., Бизнес-информатика 2019 Т. 13 № 3 С. 52-66
This paper is devoted to comparison of the capabilities of various methods to predict the bankruptcy of construction
industry companies on a one-year horizon. The authors considered the following algorithms: logit and probit models,
classification trees, random forests, artificial neural networks. Special attention was paid to the peculiarities of the
training machine learning models, the impact of data ...
Added: December 8, 2019
Ianovski E., Annals of Operations Research 2022 Vol. 318 No. 2 P. 985-1000
We consider the problem of electing a committee of k candidates, subject to constraints as to which committees are admissible for constitutional, conventional, or practical reasons. In our framework, the candidates are given labels as an abstraction of a politician’s religion, a film’s genre, a song’s language, or other attribute, and the election outcome is constrained by ...
Added: May 27, 2021
Zykov S. V., Золотухина М. А., Золотухин С. А., Модели, системы, сети в экономике, технике, природе и обществе 2023 № 3 С. 98-114
Background. All attention is focused on reducing the number of accidents on
an unfavorable section of the Altufyevsky highway in the area of 5 intersections. Such incidents
become aggravating circumstances for nearby infrastructure facilities, such as: shopping
malls, shops, cafes, there are also metro stations on a busy site. The endless flow of
people and cars, public transport stops, ...
Added: November 2, 2023
Penikas H. I., Model Assisted Statistics and Applications 2020 Vol. 15 P. 371-388
The Basel Committee on Banking Supervision finalized the Basel III accord in the December 2017 and launched the set of its standards – the Basel Framework – in December 2019. Both documents allow bank to use mathematical models for the credit risk estimation. There are quantitative and qualitative requirements for models to be allowed for ...
Added: January 6, 2021
Aachen : CEUR Workshop Proceedings, 2019
Workshop concentrates on an interdisciplinary approach to modelling human behavior incorporating data mining and expert knowledge from behavioral sciences. Data analysis results extracted from clean data of laboratory experiments will be compared with noisy industrial datasets from the web e.g. Insights from behavioral sciences will help data scientists. Behavior scientists will see new inspirations to ...
Added: November 19, 2019
Ozhegov E. M., Ozhegova A., / arXiv. Series 1905.12859 "Machine Learning". 2019.
This paper describes the results of research project on optimal pricing for LLC "Perm Local Rail Company". In this study we propose a regression tree based approach for estimation of demand function for local rail tickets considering high degree of demand heterogeneity by various trip directions and the goals of travel. Employing detailed data on ...
Added: May 31, 2019
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
Dagaev D., Журнал Новой экономической ассоциации 2018 Т. 40 № 4 С. 167-174
This paper surveys the literature on decision-making in international sports organizations. The International Olympic Committee, the Fédération Internationale de Football Association and many other federations delegate decision-making to internal committees. A complicated structure of those committees that reflects the international status of federations, a unique type of decisions that is inherent to sports industry, and ...
Added: December 19, 2018
Sidorenko V., Кулагин М. А., , in : Proceedings 2020 IEEE East-West Design & Test Symposium (EWDTS). : Varna : IEEE, 2020. P. 351-355.
This article describes the issues of analysis and assessment of the human factor for predicting the violation committed by the locomotive driver when driving the electric rolling stock. An intelligent system overview for assessing the likelihood of a violation by a locomotive driver is given. Such a system can generate recommendations depending on previously committed ...
Added: September 8, 2020
Perov A., Пестунов А. И., Прикладная дискретная математика 2020 № 3 С. 46-56
The paper explores possibility of applying convolutional neural networks to the security analysis of iterative block ciphers. A new approach for constructing distinguishing
attacks based on a convolutional neural network is proposed. The approach is based
on distinguishing between graphic equivalents of ciphertexts received by the CTR
(counter) encryption mode after different number of rounds, including the number
of ...
Added: November 1, 2021
Kosov M., Международный журнал гражданского и торгового права 2019 № 2 С. 19-29
Digital transformation fundamentally changes the way business works and will work regardless of the industry. Companies should consider that the value of technology, as part of digital transformation, lies in the ability to radically transform the business and completely change or replace the company's business model. The digital transformation strategy should be constantly reviewed and ...
Added: September 2, 2021
Serova E., Sokolov B., Ivanov D. et al., International Journal of Risk Assessment and Management 2020 Vol. 23 No. 1 P. 106-118
The main problems and features of combined approach to the
complex objects control and management stability analysis are investigated in
the paper. Analytical-simulation scenarios and scenarios of intelligent models
and systems execution for complex objects control and management stability
analysis are given. The paper describes a particular group of models and
modelling systems – hybrid intelligent models and systems that ...
Added: April 1, 2019
Yasnitsky L., Yasnitsky V. L., Journal of Applied Economic Sciences 2016 Vol. XI No. 8(46) P. 1519-1530
There are a number of economic and mathematical models designed for mass appraisal of residential real estate at the moment, which take into account their construction and performance characteristics but do not take into account the evolving macroeconomic situation in the country and in the world. The drawback of such static models is their rapid ...
Added: February 15, 2017
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
Karabekyan D., / Высшая школа экономики. Series WP BRP "Economics/EC". 2016. No. 130.
There are many allegations about whether FIFA world cup host countries were chosen honestly or not. We analyse the results of the FIFA Executive Committee voting and reconstruct the set of possible voting situations compatible with the results of each stage. In both elections, we identify strategic behaviour and then analyse the results for honest ...
Added: April 20, 2016
Milovidov S., Артикульт 2022 № 4(48) С. 36-48
This article has analyzed the artworks, the general creative principles, and approaches connected with machine learning and neural networks. The idea that the computer can replace humans for deciding routine, algorithmic, and even analytical tasks, has raised the question about the uses of machines for creative jobs. This process forms new possibilities, non-obvious images, themes, ...
Added: October 19, 2022
Yasnitsky L., Иванов Д. В., Липатова Е. В., Бизнес-информатика 2014 № 3 С. 49-56
Object of this research is the Russian banking system. The work purpose – creation of the comput-er program of an assessment of probability of bankruptcies of banks because of revocation of li-cense of banks and use of this system as mathematical model for detection of some regularities of the Russian bank sphere. The instrument of ...
Added: March 2, 2015
V. V. Karacharovskiy, Мир России: Социология, этнология 2023 Vol. 32 No. 2 P. 164-187
Despite the utopian nature of communist societies of the 20th century, the public legitimacy of temporarily sacrificing the current prosperity for the sake of a better future remains a notable characteristic of a society’s potential for modernization. The study focuses on measuring individual discount rates for reallocation of two experimental types of non-market merit goods in ...
Added: April 23, 2023
Filipenkov N., Заворотная М. П., Управление финансовыми рисками 2020 Т. 62 № 2 С. 86-90
This article is based on the interview with M.Bukhtin (Head of Risk Modeling Department, the Central Bank of Russia) by M. Zavorotnaya and N. Filipenkov ...
Added: August 16, 2020
Akopov A. S., Аудит и финансовый анализ 2010 № 3 С. 310-317
In work the developed model of adaptive management by the vertically integrated companies based on the system approach supporting the mechanism of an operational management in a uniform cycle of strategic planning, within the limits of faster time is presented. Thus for a finding of optimum values of operating parameters special algorithms of a class ...
Added: September 28, 2012
Mamedli M., Умнов А. В., Вопросы экономики 2022 № 12 С. 118-136
The paper considers the application of the web scrapping and machine learning algorithms for the assessment of the real estate price on the secondary housing market in Moscow. For this, we collect and process the data from the CIAN website and the data from “Reforma GKH”. To evaluate real estate objects, we consider such machine ...
Added: January 11, 2023
Yasnitsky L., Ясницкий В. Л., Вестник Пермского университета. Серия: Экономика 2016 № 2(29) С. 54-69
Currently, there are a number of economic and mathematical models designed for mass appraisal of real estate, tailored to their construction and performance properties, but taking no account of the evolving macroeconomic situation in the country and the world. The disadvantage of such static models is their rapid obsolescence, the need for constant updating, and ...
Added: February 15, 2017