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FAMILY OF GRAPH DECOMPOSITIONS AND ITS APPLICATIONS TO DATA ANALYSIS
Издательский дом ВШЭ
,
2016.
No. WP7/2016/09.
A new decomposition approach to complex systems analysis is suggested. The conventional approach deals with the construction of a single, “the most correct”, decomposition of the considered system. Meanwhile the suggested approach is oriented to the construction of a family of decompositions, whose properties reveal some important meaningful features of the initial system. The expedience and applicability of the elaborated approach are illustrated by three well-known and important cases: automatic classification, political voting body and stock market. In these cases, the presented results cannot be obtained by other known methods. These examples confirm the advantages of the suggested approach.
Rubchinskiy A., / Высшая школа экономики. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2015. No. WP7/2015/09.
An algorithm of solution of the Automatic Classification (AC for brevity) problem is set forth in the paper. In the AC problem, it is required to find one or several partitions, starting with the given pattern matrix or dissimilarity / similarity matrix. The three-level scheme of the algorithm is suggested. The output of the procedure ...
Added: October 19, 2017
Rubchinskiy A., , in : Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & Statistics. Vol. 197.: Springer, 2017. P. 127-152.
A new approach to network decomposition problems (and, hence, to classification problems, presented in network form) is suggested. Opposite to the conventional approach, consisting in construction of one, “the most correct” decomposition (classification), the suggested approach is focused on construction of a family of classifications. Basing on this family, two numerical indices are introduced and ...
Added: October 20, 2017
Durandin O., Zolotykh N., Хилал Н. Р. et al., Научно-технический вестник информационных технологий, механики и оптики 2017 № 1(107) С. 110-116
Subject of Research.We propose an approach for solving machine learning classification problem that uses the information about the probability distribution on the training data class label set. The algorithm is illustrated on a complex natural language processing task - classification of Arabic dialects. Method. Each object in the training set is associated with a probability distribution over ...
Added: February 8, 2017
Akaev A., Sadovnichii V. A., Korotayev A. et al., М. : Институт социально-политических исследований РАН, 2012
В данной книге авторы предлагают новую методологию долгосрочного социально-экономического моделирования и прогнозирования, основанную на кондратьевских больших циклах экономической конъюнктуры. Использование методологии позволяет обнаружить точки кризисов, рецессий и бифуркаций и тем самым повышает точность и надежность прогноза. Методология применяется для системного анализа мировой динамики и построения сценариев развития России. ...
Added: October 22, 2014
Bilinkis (Stavenko) J., Gromoff A., Качество. Инновации. Образование 2012 № 7 С. 80-87
The article includes an example of a system approach to managing operational risk in the procurement process. According this approach, 4 interrelated subsystems were identified: beliefs, constraints, control and monitoring. Therefore the operational risk management is a Meta process embedded into business processes and set requirements to the above subsystems. ...
Added: December 13, 2012
Popkov Y., Popkov A., Dubnov Y. A., Автоматика и телемеханика 2020 № 7 С. 148-172
A randomized forecasting method based on the generation of ensembles of entropy-optimal forecasting trajectories is developed. The latter are generated by randomized dynamic regression models containing random parameters, measurement noises, and a random input. The probability density functions of random parameters and measurement noises are estimated using real data within the randomized machine learning procedure. ...
Added: October 31, 2020
Dubnov Y. A., Информационные технологии и вычислительные системы 2018 № 2 С. 60-69
The paper considers the problem of reducing the dimension of the feature space for describing objects
in data analysis problems using the example of binary classification. The article provides a detailed
overview of existing approaches to solving this problem and proposes several modifications. In which
the dimensionality reduction is considered as the problem of extracting the most relevant ...
Added: July 4, 2018
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
Popkov Y., Popkov A., Dubnov Y. A., Automation and Remote Control 2020 Vol. 81 No. 7 P. 1286-1306
A randomized forecasting method based on the generation of ensembles of entropy-optimal forecasting trajectories is developed. The latter are generated by randomized dynamic regression models containing random parameters, measurement noises, and a random input. The probability density functions of random parameters and measurement noises are estimated using real data within the randomized machine learning procedure. ...
Added: October 31, 2020
Gromov V., Мазайшвили К. В., Заикин П. В. et al., Вестник кибернетики 2022 Т. 45 № 1 С. 72-82
The prevalence of chronic kidney disease is growing every year and is already comparable to such socially significant diseases as hypertension and diabetes mellitus, as well as obesity and metabolic syndrome [1,2]. The standard solution for hemodialysis patients is to create a permanent vascular access in the form of an arteriovenous fistula. However, its use ...
Added: November 14, 2022
Bufetov A. I., Geometric and Functional Analysis 2012 Vol. 22 No. 4 P. 938-975
Vershik and Kerov conjectured in 1985 that dimensions of irreducible representations of finite symmetric groups, after appropriate normalization, converge to a constant with respect to the Plancherel family of measures on the space of Young diagrams. The statement of the Vershik-Kerov conjecture can be seen as an analogue of the Shannon-McMillan-Breiman Theorem for the non-stationary ...
Added: October 18, 2012
Kharlamov A. A., Жонин А. А., Сергиевский Н. А. et al., Вестник Московского государственного лингвистического университета. Языкознание. Междисциплинарный подход в теоретической и практической лингвистике 2013 № 1 С. 81-91
Рассмотрены тенденции в развитии цифровых библиотек и их сервисов. Показано, что основное направление развития адаптивных сервисов цифровых библиотек связано с введением персонализации, которая улучшает качество их функций за счет подстройки к интересам пользователя.Предлагается подход к автоматической классификации на основе технологии для автоматического смыслового анализа текстов TextAnalyst как основание для формирования механизма персонализации. Описывается реализация программной ...
Added: November 12, 2016
Anton Kocheturov, Mikhail Batsyn, Panos M. Pardalos, Physica A: Statistical Mechanics and its Applications 2014 Vol. 413 P. 523-533
In the course of recent fifteen years the network analysis has become a powerful tool for studying financial markets. In this work we analyze stock markets of the USA and Sweden. We study cluster structures of a market network constructed from a correlation matrix of returns of the stocks traded in each of these markets. ...
Added: July 24, 2014
Gromoff A., Komarov V. V., Лещанкина Е. Н., Информационные технологии в проектировании и производстве 2009 № 2 С. 19-23
Any company consists of business processes, and enterprise management is actually performed by managing them. Every process requires proper information support and cannot be managed successfully without it, hence neither can the whole company. However creating such support system is quite a serious problem. Content analysis based on corporative taxonomies use is a simple but ...
Added: February 10, 2013
Yasnitsky L., Нейрокомпьютеры: разработка, применение 2019 Т. 21 № 1 С. 6-8
Based on the analysis of literary sources, it is shown that the author of the first algorithm for training multilayer neural networks, which brought artificial intelligence out of the crisis of the 1950s-1970s, was Professor Alexander Galushkin. ...
Added: November 15, 2019
Galatenko V. V., Livshitz E., Chernorizov A. et al., Psychology in Russia: State of the Art 2013 Vol. 6 No. 3 P. 41-48
Automated classification of a human functional state is an important problem, with applications including stress resistance evaluation, supervision over operators of critical infrastructure, teaching and phobia therapy. Such classification is particularly efficient in systems for teaching and phobia therapy that include a virtual reality module, and provide the capability for dynamic adjustment of task complexity. ...
Added: October 29, 2015
Gromoff A., Bilinkis (Stavenko) J., Информационные технологии в проектировании и производстве 2011 № 3 С. 28-35
This article discusses and applies an approach to solution of business process monitoring task on the basis of study of entropy characters of an acting business system information field, which is considered from a view of behavior and modeling of open systems. Process flow continuity in time is taken to account. A method of stability ...
Added: December 10, 2012
Savitskaya E. V., Евсеев О. В., М. : Финансы и статистика, 1994
Гипертекст в словаре - это графическая схема, описывающая определенный фрагмент знаний и позволяющая быстро уяснить смысл терминов и наглядно проследить все связи набора понятий изучаемой темы, охватив её как бы одним взглядом. Словарь содержит около 300 терминов современной рыночной экономики. Он предназначен для преподавателей и учеников старших классов школ, лицеев, колледжей, а также для всех, ...
Added: October 5, 2014
Popkov Y., Dubnov Y. A., Popkov A. Y., Automation and Remote Control 2018 Vol. 79 No. 11 P. 2038-2051
The direct and inverse projections (DIP) method was proposed to reduce the feature space to the given dimensions oriented to the problems of randomized machine learning and based on the procedure of “direct” and “inverse” design. The “projector” matrices are determined by maximizing the relative entropy. It is suggested to estimate the information losses by ...
Added: February 12, 2019
В.Н. Азаров, Бойцов Б. В., Ю.И. Гудков et al., Компетентность 2017 № 9-10 С. 46-57
We have examined the main new competencies that should be matched by the specialist — managers of complex techno-technological and socio-economic systems in the era of information (digital) and industrial revolutions. We have also investigated what kind of overprofessional competencies the expert should have and what the system of its preparation includes. Having outlined and ...
Added: January 29, 2018
Popkov Y., Dubnov Y. A., Volkovich Z. et al., Entropy 2017 Vol. 19(4) No. 178 P. 1-14
A proposal for a new method of classification of objects of various nature, named “2”-soft classification, which allows for referring objects to one of two types with optimal entropy probability for available collection of learning data with consideration of additive errors therein. A decision rule of randomized parameters and probability density function (PDF) is formed, ...
Added: May 26, 2017
Kharlamov A. A., Ермоленко Т. В., Информационные технологии 2015 № 11 С. 814-820
Ассоциативная память человека является средством для преодоления информационной сложности, возникавшей и возникающей постоянно в процессе его жизнедеятельности. В работе рассмотрена архитектура, свойства и функциональность ассоциативной памяти с целью ее использования для моделирования способности преодоления информационной сложности. Рассмотрен процесс перенормировки весовых характеристик образов событий, хранящихся в иерархии колонок коры полушарий большого мозга человека, который происходит в ...
Added: November 12, 2016
Koltsov S., Письма в Журнал технической физики 2017 Т. 43 № 12 С. 90-95
A thermodynamic approach has been applied to solving the problem of selecting the number of
clusters/topics in topic modeling. The main principles of this approach are formulated and the behavior of
topic models during temperature variations is studied. Using thermodynamic formalism, the existence of the
entropy phase transition in topic models is shown and criteria for the choice ...
Added: April 18, 2017
Alekseev V., Zakharova D. V., Malyshev D. et al., Вестник Нижегородского университета им. Н.И. Лобачевского. Серия: Математика 2012 № 6(1) С. 115-120
Рассматриваются вопросы асимптотического перечисления наследственных классов графов и их структурного описания, исследуется сложность некоторых задач на таких классах. ...
Added: May 17, 2013