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Найдено 31 100 публикаций
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Глава
Gorshkova E., Novikov B., Shukla M. K. In bk.: In Proceedings of the 18th International Conference on Computer Systems and Technologies, CompSysTech’17. ACM, 2017. P. 187-194.
Добавлено: 13 февраля 2019
Глава
Makhalova T., Napoli A., Kuznetsov S. In bk.: CLA 2018: The 14th International Conference on Concept Lattices and Their Applications. CEUR Workshop Proceedings, 2018.
Добавлено: 25 ноября 2018
Глава
Tyulkova N. In bk.: Proceedings of the 11th International Conference on Intellectual Capital, Knowledge Management And Organisational Learning ICICKM 2014. Reading: Academic Conferences and Publishing International Limited, 2014. P. 549-557.
Добавлено: 3 января 2015
Глава
Fomichov V. A., Kirillov A. V. In bk.: Artificial Intelligence: Methodology, Systems, and Applications. 15th International Conference, AIMSA 2012, Varna, Bulgaria, September 12-15, 2012. Proceedings. Iss. 7557. Heidelberg; Dordrecht; L.; NY: Springer, 2012. P. 296-304.

Статья описывает новый метод конструирования семантических расширений запросов о достижениях и неудачах активных систем (организаций, людей). Этот метод базируется на теории К-представлений (концептуальных представлений), предложенной В.А. Фомичевым – новой теории проектирования семантико-синтаксических анализаторов естественно-языковых текстов с широким применением формальных средств представления входных, промежуточных и выходных данных. Метод использует оригинальную формальную модель базы целей – базы знаний, содержащей информацию о целях активных систем. Изложенный подход реализован с помощью языка Веб-программирования Java: разработана и протестирована экспериментальная поисковая система AOS (Аспектно-Ориентированный Поиск).

Добавлено: 23 ноября 2012
Глава
Ladynin I. A. In bk.: Ruthenia Classica Aetatis Novae: A Collection of Works by Russian Scholars in Ancient Greek and Roman History. Franz Steiner Verlag, 2013. P. 93-116.

В статье анализируется памятник, хранящийся в Государственном Эритаже и, возможно, отразивший ситуацию неприятия македонского завоевания Египта его элитой.

Добавлено: 25 августа 2018
Глава
Rakhilina E. V., Reznikova T. In bk.: The Lexical Typology of Semantic Shifts. Berlin; Boston: De Gruyter Mouton, 2016. Ch. 4. P. 95-129.
Добавлено: 12 марта 2017
Глава
Panov A. I., Boyko A. A., Kaidina A. M. et al. In bk.: Proceedings of the 2016 IEEE Eighth International Conference on Intelligent Systems. IEEE, 2016. P. 160-166.
Добавлено: 23 октября 2016
Глава
Grinkrug E. M. In bk.: Perspectives of System Informatics - 11th International Andrei P. Ershov Informatics Conference, PSI 2017, Moscow, Russia, June 27-29, 2017, Revised Selected Papers, Lecture Notes in Computer Science. Vol. 10742. Springer, 2018. P. 163-178.
Добавлено: 25 января 2018
Глава
Bershadskaya (Vidiasova) L., Chugunov A., Trutnev D. et al. In bk.: Electronic Government and Electronic Participation. Vol. 22. IOS Press Ebooks, 2015. Ch. 27. P. 253 -260.
Добавлено: 2 ноября 2015
Глава
Искандеров Ю. М. In bk.: 11th IEEE International Conference on Application of Information and Communication Technologies (AICT): Conference Proceedings (Vol.2). Vol. 2. M.: Institute of Electrical and Electronics Engineers Inc., 2017. P. 1-7.
Добавлено: 7 мая 2019
Глава
Чумаков И. Г., Komarov M. M. In bk.: Workshops and work-in-progress contributions at S-BPM One 2018. Vol. 2074. CEUR Workshop Proceedings, 2018. Ch. 5. P. 71-78.
Добавлено: 3 мая 2018
Глава
Maria Mayofis. In bk.: Cosmopolitanism in Confict: Imperial Encounters from the Seven Years’ War to the Cold War. L.: Palgrave Macmillan, 2018. Ch. 4. P. 85-110.
Добавлено: 23 февраля 2018
Глава
Koltsov S., Pashakhin S., Dokuka S. In bk.: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10th International Conference on Social Informatics, SocInfo 2018; St.Petersburg. Springer, 2018. P. 308-321.
Добавлено: 24 сентября 2018
Глава
Daniel M. In bk.: Perspectives on Semantic Roles. Typological studies in language 106. Amsterdam; Philadelphia: John Benjamins Publishing Company, 2014. Ch. 7. P. 205-239.
Добавлено: 19 сентября 2014
Глава
Sinyavskaya O. V., Varlamova M. A. In bk.: British Society for Population Studies. The 2015 Conference. Leeds: 2015.
Добавлено: 21 октября 2015
Глава
Kokoreva M. S., Ulugova A. E. In bk.: Economic and Social Development: Book of Proceedings of the 2nd International Scientific Conference, Paris, France, 5th April 2013. Celje: Varazdin development and Entrepreneurship Agency, 2013. P. 384-396.
Добавлено: 2 декабря 2013
Глава
Kalyagin V. A., Koldanov A. P., Pardalos P. M. In bk.: Learning and Intelligent Optimization.. Vol. 8426: Lectute Notes in Computer Science. Switzerland: Springer, 2014. P. 88-97.

The main goal of the present paper is the development of general approach to network analysis of statistical data sets. First a general method of market network construction is proposed on the base of idea of measures of association. It is noted that many existing network models can be obtained as a particular case of this method. Next it is shown that statistical multiple decision theory is an appropriate theoretical basis for market network analysis of statistical data sets. Finally conditional risk for multiple decision statistical procedures is introduced as a natural measure of quality in market network analysis. Some illustrative examples are given.

Добавлено: 13 августа 2014
Глава
van der Aalst W. In bk.: Proceedings of the 2013 Federated Conference on Computer Science and Information Systems. Vol. 1: Annals of Computer Science and Information Systems. Warsz.: Polskie Towarzystwo Informatyczne, 2013. P. 1-10.

Operational processes leave trails in the information systems supporting them. Such event data are the starting point for process mining – an emerging scientific discipline relating modeled and observed behavior. The relevance of process mining is increasing as more and more event data become available. The increasing volume of such data (“Big Data”) provides both opportunities and challenges for process mining. In this paper we focus on two particular types of process mining: process discovery (learning a process model from example behavior recorded in an event log) and conformance checking (diagnosing and quantifying discrepancies between observed behavior and modeled behavior). These tasks become challenging when there are hundreds or even thousands of different activities and millions of cases. Typically, process mining algorithms are linear in the number of cases and exponential in the number of different activities. This paper proposes a very general divide-and-conquer approach that decomposes the event log based on a partitioning of activities. Unlike existing approaches, this paper does not assume a particular process representation (e.g., Petri nets or BPMN) and allows for various decomposition strategies (e.g., SESE- or passage-based decomposition). Moreover, the generic divide-and-conquer approach reveals the core requirements for decomposing process discovery and conformance checking problems.

Добавлено: 14 ноября 2013
Глава
Fenogenova A., Karpov I., Kazorin V. In bk.: Proceedings of the Artificial Intelligence and Natural Language AINL FRUCT 2016 Conference, Saint-Petersburg, Russia, 10-12 November 2016. FRUCT Oy, 2016. P. 31-36.

With the process of globalization the number of borrowings from English has rapidly increased in languages all over the world. In systems of automatic speech recognition, spell-checking, tagging and other tasks in the field of natural language processing the loan words frequently cause problems and should be treat separately. In this paper we present a corpora-based approach for the automatic detection of anglicisms in Russian social network texts. Proposed method is based on the idea of simultaneous scripting, phonetics and semantics similarity of the original Latin word and its Cyrillic analogue. We used a set of transliteration, phonetic transcription and morphological analysis methods to find possible hypotheses and distributional semantic models to filter them.  Resulting list of borrowings, gathered from approximately 20 million LiveJournal texts shows good intersection with manually collected dictionary. Proposed method is fully automated and can be applied to any domain-specific area.

Добавлено: 19 октября 2016
Глава
Tatarnikov A., Коцыняк А. М. In bk.: Proceedings of the 8th Spring/Summer Young Researchers’ Colloquium on Software Engineering (SYRCoSE 2014). M.: 2014.
Добавлено: 20 декабря 2017
Глава
Morozova Y. A. In bk.: SAI Intelligent Systems Conference 2015 (IntelliSys 2015). L.: IEEE, 2015. P. 855-856.

The research concerns issues on simulation modeling of Russian Federation higher education system considering its interaction with macroeconomic and demographic factors. The proposed range of simulation models of higher education system is developed using agent-based modeling and system dynamics methods. The range of models allows strategic planning of development of Russian Federation higher education system.

Добавлено: 1 октября 2015