Voting: a machine learning approach
Puppe C. D., 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.
, , Heterogeneity in demand and optimal price conditioning for local rail transport / . 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
A recommender subsystem construction for calculating the probability of a violation by a locomotive driver using machine-learning algorithms
, , , 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
, 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
, 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
, 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
, , 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
Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research University Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7)
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
, , 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
, , 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
, , et al., IFAC-PapersOnLine 2016 Vol. 49 No. 32 P. 24-29
In coming years residential consumers will face real-time electricity tariffs with energy prices varying day to day, and effective energy saving will require automation - a recommender system, which learns consumer's preferences from her actions. A consumer chooses a scenario of home appliance use to balance her comfort level and the energy bill. We propose ...
Added: January 24, 2017
, Journal of Economic Theory 2018 Vol. 176 No. C P. 55-80
It is proved that, among all restricted preference domains that guarantee consistency (i.e. transitivity) of pairwise majority voting, the single-peaked domain is the only minimally rich and connected domain that contains two completely reversed strict preference orders. It is argued that this result explains the predominant role of single-peakedness as a domain restriction in models ...
Added: May 18, 2020
, , Lecture Notes in Computer Science 2019 Vol. 11331 P. 441-446
In this paper, we analyze a new approach for demand prediction in retail. One of the signicant gaps in demand prediction by machine learning methods is the unaccounted sales data censorship. Econometric approaches to modeling censored demand are used to obtain consistent and unbiased estimates of parameters. These approaches can also be transferred to different ...
Added: October 2, 2018
, , 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
, , Journal of Forecasting 2019 Vol. 39 No. 3 P. 489-500
In this research we analyze a new approach for prediction of demand. In the studied market of performing arts the observed demand is limited by capacity of the house. Then one needs to account for demand censorship to obtain unbiased estimates of demand function parameters. The presence of consumer segments with different purposes of going ...
Added: November 24, 2019
, Forecasting Russian CPI with data Vintages and Machine learning techniques / . 2021.
We show, how the forecasting performance of models varies, when certain inaccuracies in the pseudo real-time experiment take place. We consider the case of Russian CPI forecasting and estimate several models on not seasonally adjusted data vintages. Particular attention is paid to the availability of the variables at the moment of forecast: we take into account the release timing of the series and the corresponding release delays, in order to reconstruct the forecasting in real-time. In the series of experiments, we quantify how each of these issues affect ...
Added: October 31, 2021
Strategic Behavior in Exhaustive Ballot Voting: What Can We Learn from the FIFA World Cup 2018 and 2022 Host Elections?
, Strategic Behavior in Exhaustive Ballot Voting: What Can We Learn from the FIFA World Cup 2018 and 2022 Host Elections? / 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
Методика создания комплексной экономико-математической модели массовой оценки стоимости объектов недвижимости на примере квартирного рынка города Перми
, , 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
, , Economic Theory 2019 Vol. 67 No. 1 P. 285-318
Condorcet domains are sets of linear orders with the property that, whenever the preferences of all voters of a society belong to this set, their majority relation has no cycles. We observe that, without loss of generality, every such domain can be assumed to be closed in the sense that it contains the majority relation ...
Added: May 18, 2020
О возможности применения сверточных нейронных сетей к построению универсальных атак на итеративные блочные шифры
, , 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
, , , 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
, , , in: The Thirty-Fifth AAAI Conference on Artificial Intelligence. Technical Tracks 6. Vol. 35. Issue 6.: AAAI Press, 2021.. P. 5489-5496.
In social choice there often arises a conflict between the majority principle (the search for a candidate that is as good as possible for as many voters as possible), and the protection of minority rights (choosing a candidate that is not overly bad for particular individuals or groups). In a context where the latter is ...
Added: June 3, 2021
Technique of Design for Integrated Economic and Mathematical Model for Mass Appraisal of Real Estate Property. Study Case of Yekaterinburg Housing Market
, , 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
, , Политическая децентрализация и политические эксперименты / Высшая школа экономики. Series WP BRP 55/LNG/2017. 2007. No. 05.
Since 1932, when Justice Louis Brandeis remarked that in a federal system states can serve as “laboratories” of democracy, political decentralization has been thought to stimulate policy experimentation. We reexamine the political economy behind this belief, using a simple model of voting in centralized and decentralized democracies. We find the electoral logic suggests the opposite ...
Added: March 12, 2013
"Препятствий для построения моделей с помощью технологий искусственного интеллекта нет". Интервью с М.А.Бухтиным
, , 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