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Найдено 29 559 публикаций
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Глава
Berry J. W. In bk.: Advances in cognitive science. New Delhi: Sage, 2008. P. 300-311.
Добавлено: 2 июля 2014
Глава
TIWARI A., OJHA S., Pantiukhin D. In bk.: 3rd IEEE International Conference on "Computational Intelligence and Communication Technology", CICT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. P. 1-5.
Добавлено: 31 августа 2018
Глава
Petrosyants K. O., Kharitonov I. A., Kozhukhov M. V. et al. In bk.: 2017 International Workshop on Reliability of Micro- and Nano-Electronic Devices in Harsh Environment” (IWRMN-EDHE 2017). Institute of Microelectronics of Chinese Academy of Sciences, 2017. P. 1-3.
Добавлено: 16 октября 2017
Глава
Vladislav Podymov. In bk.: Concurrency, Specification & Programming. 24th International Workshop, CS&P 2015. Rzeszow, Poland, September 28-30, 2015. Proceedings. Vol. 2. University of Rzeszow, 2015. P. 85-96.
Добавлено: 11 октября 2015
Глава
Ladynin I. A. In bk.: Mobilität in den Kulturen der antiken Mittelmeerwelt: Stuttgarter Kolloquium zur Historischen Geographie des Altertums 11, 2011. Stuttgart: Franz Steiner Verlag, 2014. P. 343-354.

Статья посвящена сведениям автобиографической надписи вельможи Сематауитефнахта на т.н. Неаполитанской стелы конца IV в. до н.э. В ней приведены аргументы против устоявшегося мнения о том, что этот вельможа оказался в 340-330-е гг. до н.э. при дворе Великого царя и, может быть, участвовал в войне против Александра по собственной воле, в силу своей проперсидской позиции

Добавлено: 25 августа 2018
Глава
Ladynin I. A. In bk.: Alexander the Great and the East: History, Art, Tradition. Wiesbaden: Harrassowitz Verlag, 2016. P. 9-18.

Статья посвящена анализу двух египетских источников, возможно, отразивших ситуации контактов знатных египтян с Александром Великим.

Добавлено: 25 августа 2018
Глава
Булычев Д. Ю., Дмитрий Л. In bk.: 4th International Ershov Conference on Perspectives of System Informatics. 2002.
Добавлено: 31 октября 2018
Глава
Serova E. V., Shik O.V. In bk.: Jamaica. Review of Agricultural Support and Taxation. Food and Agriculture Organization of the United Nations, 2014.

This report serves as a guide to the agricultural policy shifts made by the Government of Jamaica that would be desirable in the context of the changing role of agriculture. It focuses on the central question of how to create within the context of fiscal austerity an enabling framework for agriculture that results in a more competitive sector, with prospects for growth and poverty alleviation in the future. The three major studies underpinning this report are an Agricultural Sector Support Analysis, a Climat Change Report and an Agricultural Taxation Report. This report synthesizes and expands on the elements in these studies that are most relevant to the policy choices facing the government in the context of its tax reform initiative.

Добавлено: 11 декабря 2018
Глава
Tsukanova O. A., Hou K., Semenova A. et al. In bk.: Proceedings of the 11-th International Conference on E-Business Engineering (ICEBE-2014). IEEE Computer Society, 2014.
Добавлено: 12 ноября 2014
Глава
Агиевич В. А., Гимранов Р. Д., Таратухин В. В. В кн.: Proceedings - 2012 7th International Forum on Strategic Technology, IFOST 2012. 7th International Forum on Strategic Technology, Tomsk, 1821 September 2012. 2012. С. 789-793.

One of the challenging issues of Enterprise Architecture (EA) in large companies is organizing processes of baseline EA development and change management under conditions of steady change that implemented and changed IT solutions introduce. The research paper describes the approach of developing and keeping relevant baseline EA description together with IT project teams using Solution Architecture models. The method is in process of implementation in one of the leading Russian oil and gas companies Surgutneftegas

Добавлено: 13 ноября 2013
Глава
Struminsky K., Kruglik S., Vetrov D. et al. In bk.: 2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016. October 13 - 15, Yangzhou, China. NY: Institute of Electrical and Electronic Engineers, 2016. P. 1-5.

The rapid growth of traffic and number of simultaneously available devices leads to the new challenges in constructing fifth generation wireless networks (5G). To handle with them various schemes of non-orthogonal multiple access (NOMA) were proposed. One of these schemes is Sparse Code Multiple Access (SCMA), which is shown to achieve better link level performance. In order to support SCMA signal decoding channel estimation is needed and sparse Bayesian learning framework may be used to reduce the requirement of pilot overhead. In this paper we propose a modification of sparse Bayesian learning based channel estimation algorithm that is shown to achieve better accuracy of user detection and faster convergence in numerical simulations.

Добавлено: 24 апреля 2017
Глава
Buzmakov A. V., Kuznetsov S., Napoli A. In bk.: Proceedings, Workshop “What can FCA do for Artificial Intelligence?” of the ECAI 2012 conference. M.: CEUR Workshop Proceedings, 2012. P. 15-22.
Добавлено: 30 января 2013
Глава
Rubchinskiy A. In bk.: 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 calculated. The suggested indices describe the complexity of the initial classification problem as whole. The expedience and applicability of the elaborated approach are illustrated by two well-known and important cases: political voting body and stock market. In both cases the presented results cannot be obtained by other known methods. It confirms the perspectives of the suggested approach.

Добавлено: 20 октября 2017
Глава
Evgeny Kazartsev. In bk.: Proceedings of the International Scholarly Conference “Philological Science in the Modern World”. Almaty: Abai University Press, 2013. P. 87-90.

Речь идет о применении новых вероятностно-статистических моделей к сравнительному анализу разноязычных метрически организованных (стихотворных) текстов.

Добавлено: 22 марта 2014
Глава
Loesov S. In bk.: Babel und Bibel 6: Annual of Ancient Near Eastern, Old Testament, and Semitic Studies. Winona Lake: Eisenbrauns, 2012. P. 421-456.
Добавлено: 23 октября 2017
Глава
Loesov S. In bk.: Proceedings of the 14th Italian Meeting of Afroasiatic Linguistics. 2013. P. 91-106.
Добавлено: 23 октября 2017
Глава
Kostinskiy A., Mareev E., Bogatov N. et al. In bk.: 33rd International Conference on Lightning Protection (ICLP) - Estoril, Portugal, 25-30 September, 2016. IEEE, 2016.

We have observed unusual plasma formations (UPFs) in artificial clouds of charged water droplets using a high-speed infrared camera operating in conjunction with a high-speed visible-range camera. Inferred plasma parameters were close to those of long-spark leaders observed in the same experiments, while the channel morphology was distinctly different from that of leaders, so that UPFs can be viewed as a new type of in-cloud discharge. These formations can occur in the absence of spark leaders and appear to be manifestations of collective processes building, essentially from scratch, a complex hierarchical network of interacting channels at different stages of development (some of which are hot and live for milliseconds). We believe that the phenomenon should commonly occur in thunderclouds and might give insights on the missing link in the still poorly understood lightning initiation process.

Добавлено: 24 февраля 2017
Глава
Fishkov A., Nikolenko S. I. In bk.: EEML 2012 – Experimental Economics in Machine Learning. Leuven: Katholieke Universiteit Leuven, 2012. P. 45-54.
Добавлено: 13 февраля 2013
Глава
Ignatov D. I., Poelmans J., Dedene G. et al. In bk.: Perception and Machine Intelligence. First Indo-Japan Conference, PerMIn 2012, Kolkata, India, January 12-13, 2011, Proceedings. Vol. 7143. Berlin; Heidelberg: Springer, 2012. P. 195-202.

The topic of recommender systems is rapidly gaining interest in the user-behaviour modeling research domain. Over the years, various recommender algorithms based on different mathematical models have been introduced in the literature. Researchers interested in proposing a new recommender model or modifying an existing algorithm should take into account a variety of key performance indicators, such as execution time, recall and precision. Till date and to the best of our knowledge, no general cross-validation scheme to evaluate the performance of recommender algorithms has been developed. To fill this gap we propose an extension of conventional cross-validation. Besides splitting the initial data into training and test subsets, we also split the attribute description of the dataset into a hidden and visible part. We then discuss how such a splitting scheme can be applied in practice. Empirical validation is performed on traditional user-based and item-based recommender algorithms which were applied to the MovieLens dataset.

Добавлено: 3 декабря 2012
Глава
Razorenov A., Fomichov V. A. In bk.: Database and Expert Systems Applications. 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings. Vol. 9827. Prt. I. Cham; Heidelberg; NY; Dordrecht; L.: Springer, 2016. P. 416-430.
During roughly the last seven years, an increase of interest in semantic parsing of instructions in natural language (NL) could be observed. The principal applications of developed algorithms are NL-interfaces for interaction with robots and the personages of videogames, navigation in virtual space, and for developing programs by means of NL. However, the known algorithms are able to process only simple instructions, including one verb with dependent words. This paper has the following theoretical objectives: (a) to formally define in a new way the semantic-syntactic component of a linguistic database and semantic-syntactic structure of a NL-text; (b) to develop a new algorithm of semantic parsing of instructions satisfying the following conditions: (i) being able to process complex NL-instructions including several verbs; (ii) having a relatively compact form due to a high-level angle of look; (iii) being easy to implement and to expand; (iv) finding semantic-syntactic relationships in the input text without constructing a pure syntactic representation of the input text; (v) being convenient for processing texts not only from English but also from Russian, German, French and many other languages. The practical objective of the study was to develop a useful NL-interface to a file manager. A file manager with a NL-interface NLC-2 (Natural Language Commander - Version Two) has been developed. This study is underpinned by the theory of K-representations (knowledge representations) developed by the second author.  
Добавлено: 18 октября 2016
Глава
Fomichov V. A., Razorenov A. In bk.: Natural Language Processing and Information Systems. 19th International Conference on Applications of Natural Language to Information Systems, NLDB 2014, Montpellier, France, June 18-20, 2014, Proceedings. Iss. LNCS 8455. Cham: Springer, 2014. P. 81-84.

Излагается оригинальный метод разработки алгоритмов  семантико-синтаксического анализа текстов на естественном языке (ЕЯ). Этот метод является расширением метода, предложенного В.А. Фомичевым в монографии, опубликованной издательством Шпрингер в 2010 году. Для построения семантических представлений текстов используется класс СК-языков. Входные тексты могут принадлежать по крайней мере широким и практически интересным подъязыкам русского, английского, французского и немецкого языков. Заключительная часть статьи описывает применение разработанного метода к проектированию ЕЯ-интерфейса прикладной программной системы, выполняющей различные действия. Разработанный ЕЯ-интерфейс NLC-1 (Естественно-Языковый Коммандер – Версия 1) реализован с помощью языка функционального программирования Хаскел (Haskell).

Добавлено: 25 ноября 2014