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Найдено 36 269 публикаций
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Глава
Mirkin B. In bk.: CLA 2016: Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications. CEUR Workshop Proceedings. Vol. 1624. M.: Higher School of Economics, National Research University, 2016. P. 7-8.

Аpproximate cluster structures are those of formal concepts and n-concepts with added numerical intensity weights. The talk presents theoretical results and computational methods for approximate clustering and n-clustering as extensions of the algebraic-geometrical properties of numerical matrices (SVD and the like) to the situations where one or most of elements of the solutions to be found are expressed by binary vectors. The theory embraces such methods as k-means, consensus clustering, network clustering, biclusters and triclusters and provides natural data analysis criteria, effective algorithms and interpretation tools. 

Добавлено: 3 марта 2017
Глава
Lazarev A. A. In bk.: Optimization and applications (OPTIMA-2009). M.: 2009. P. 56-57.

We are given a set $N=\{1,\dots,n\}$ of $n$ jobs that must beprocessed on $m$ machines $M=\{1,\dots,m\}$. Preemption of thejobs is not allowed. Each machine can handle only one job at atime. For each job $j$ we have: $r_j$ -- release date $0\lep_{ji}\le +\infty$ -- processing time job $j$ on the machine $i$(if $p_{ji}=+\infty,$ then job $j$ can not process on the machine$i$) $d_j$ -- due date. Between jobs ratios of a precedence inthe form of an acyclic oriented graph $G \subset N \times N $ areset. Through $\pi_i$ we will definete the schedule of the jobsprocesseded on the machine $i, i=1,\dots,m$. Naturally, admissibleschedules without artificial idle times of the machines,satisfying the graph are considered only.

Добавлено: 4 марта 2013
Глава
Ponomarenko A., Yury M., Logvinov A. et al. In bk.: International Conference on Information and Communication Technologies and Applications ICTA 2011. 2011.
Добавлено: 1 октября 2013
Глава
Kuznetsov S., Babin M. A. In bk.: Formal Concept Analysis. 10th International Conference, ICFCA 2012, Leuven, Belgium, May 7-10, 2012 Proceedings. Vol. 7278. Berlin; Heidelberg: Springer, 2012. P. 7-15.
Добавлено: 30 января 2013
Глава
Konakov V., Menozzi S., Molchanov S. In bk.: Analytical and computational methods in probability theory and its applications (ACMPT-2017). Proceedings of the International Scientific Conference. M.: RUDN, 2017. P. 202-206.
Добавлено: 23 октября 2017
Глава
Korbut A. In bk.: Studentische Praxis und universitäre Interaktionskultur: Perspektiven einer praxeologischen Bildungsforschung. Springer, 2019. P. 119-142.
Добавлено: 6 октября 2018
Глава
Kohli P., Osokin A., Jegelka S. In bk.: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013). Portland: IEEE, 2013. P. 1971-1978.
Добавлено: 19 октября 2017
Глава
Kuznetsov M., Polykovskiy D., Vetrov D. et al. In bk.: Advances in Neural Information Processing Systems 32 (NeurIPS 2019). 2019. P. 1-11.
Добавлено: 13 марта 2020
Глава
Lukinskiy V., Lukinsky V., Sokolov B. et al. In bk.: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part I. Vol. 1. Switzerland: Springer, 2021. P. 447-454.
Добавлено: 9 сентября 2021
Глава
Savvateev A. V., Weber S., Dreze J. et al. In bk.: X Международная научная конференция по проблемам развития экономики и общества: в 3 кн.. Bk. 2. M.: Higher School of Economics Publishing House, 2010.
Добавлено: 27 сентября 2013
Глава
Beresneva E., Gordenko M. In bk.: Actual Problems of System and Software Engineering. Proceedings of the 6th International Conference Actual Problems of System and Software Engineering. Moscow, Russia, 12-14 November, 2019. Vol. 2514. CEUR Workshop Proceedings, 2019. P. 278-288.
Добавлено: 11 декабря 2019
Глава
Boris Ulitin, Eduard Babkin, Babkina T. S. In bk.: Lecture Notes in Business Information Processing. Iss. 330: Perspectives in Business Informatics Research. Switzerland: Springer, 2018. P. 219-234.
Добавлено: 11 октября 2018
Глава
Zhuk D. In bk.: 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2017. P. 331-342.
Добавлено: 29 октября 2020
Глава
Uvarov P. Y. In bk.: Spain - India - Russia. Centres, Borderlands, and Peripheries of Civilisations. Anniversary Book Dedicated to Professor Jan Kieniewicz on His 80th Birthday. Warsz.: Wydawnictwo Naukowe Sub Lupa, 2018. Ch. 37. P. 533-556.
Добавлено: 3 марта 2019
Глава
Pozhidaeva A. In bk.: Models in the art of the Middle Ages (12th-15th centuries). Brepols Publishers, 2018. P. 99-108.
Добавлено: 29 июня 2018
Глава
Alexeeva T. A. In bk.: Imperium, Staat, Civitas. Ein kritischer Beitrag zum postmodernen Konzept der Macht. Imperium, Stato, Civitas. Contributo critico alla concezione postmoderna del potere.. Stuttgart: Franz Steiner Verlag, 2015. P. 83-92.

Данная статья посвящена отдельным аспектам влияния римского публичного права на право России. Особое внимание автор уделяет анализу  понятий «государство» и «царство» в римском публичном праве и российском праве, юридических аспектов отношений церкви и государства в Древнем Риме и России - «Третьем» Риме, концепции республики, а также соотношению власть – народ в римском и советском праве.  

Добавлено: 24 декабря 2015
Глава
Goldengorin B. I., Kocheturov A. A., Pardalos P. M. In bk.: Clusters, orders, trees: methods and applications. In Honor of Boris Mirkin's 70th Birthday. Vol. 92. Berlin: Springer, 2014. P. 77-89.

In the course of recent ten years algorithms and technologies for network structures analysis have been applied to financial markets among other approaches. The first step of such an analysis is to describe the considered financial market via the correlation matrix of stocks prices over a certain period of time. The second step is to build a graph in which vertices represent stocks and edge weights represent correlation coefficients between the corresponding stocks. In this paper we suggest a new method of analyzing stock markets based on dividing a market into several substructures (called stars) in which all stocks are strongly correlated with a leading (central, median) stock. The method is based on the p-median model a feasible solution to which is represented by a collection of stars. Our method is able to find an exact solution for relatively small-sized markets (less than 1000 stocks) and a high-quality solution for large-sized (many thousands of stocks) markets. We observed an important ``median nesting" property of returned solutions: the p leading stocks, or medians, of the stars are repeated in the solution for p+1 stars.

Добавлено: 7 октября 2013
Глава
Бойцов М. А. В кн.: Святая Вода в иеротопии и иконографии христианского мира. М.: Феория, 2017. Гл. 10. С. 278-294.

В статье рассматриваются пассажи, посвященные различным видам воды, используемым в католической литургии, в "Рационале" знаменитого литургиста Гильома Дюрана, епископа Мендского.

Добавлено: 28 ноября 2015
Глава
Alexandrov D., Uddin M. S. In bk.: Intelligent Systems and Applications. Vol. 2. Cham: Springer, 2019. P. 1-19.
Добавлено: 29 августа 2018
Глава
Nefedova O. In bk.: Mediterranean Mosaic: History and Art. Bk. 6. ICSR Mediterranean Knowledge, 2019. P. 93-115.
Добавлено: 12 мая 2019