Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ark M. Andreev"'
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
The paper considers the task of natural language text generation, particularly the task of question generation based on the given text. Recent research in the area of text generation shows that better quality is achieved using the autoregressive gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06b913e140eac0325cb8c4d19a073871
https://doi.org/10.1007/978-3-030-91581-0_29
https://doi.org/10.1007/978-3-030-91581-0_29
Autor:
Ilya Kozlov, Dmitry Berezkin, Ark M. Andreev, Gennady P. Mozharov, Yury A. Sokolov, Andrey V. Proletarsky
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030392154
We propose an approach to solving the problem of forecasting and decision support in managing processes in complex information networks. The approach is based on the analysis of heterogeneous data streams and involves solving two consecutive selectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fcf3bde69568307a05643eae7ba872b
https://doi.org/10.1007/978-3-030-39216-1_40
https://doi.org/10.1007/978-3-030-39216-1_40
Publikováno v:
Proceedings of the 16th International Conference on Applied Computing 2019.
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030304249
The article proposes an approach for music classification problem using hybrid intelligent information systems (HIIS). The HIIS consists of two main components: the subconsciousness module and the consciousness module. The subconsciousness module is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53a5827c204e3bb0e740317215b19f00
https://doi.org/10.1007/978-3-030-30425-6_7
https://doi.org/10.1007/978-3-030-30425-6_7
This chapter will describe an approach to monitoring and forecasting the development of innovative educational technologies based on text stream analysis. The approach will involve detecting education-related events in the stream of text documents, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1423b9a7d4e4d94986e3781a169a2b4
https://doi.org/10.4018/978-1-5225-3395-5.ch027
https://doi.org/10.4018/978-1-5225-3395-5.ch027
Autor:
Ivan V. Dunin, Ark M. Andreev, Valeriy M. Chernenkiy, Yuriy Kaganov, Maxim A. Lyaskovsky, Yuriy E. Gapanyuk, Georgiy I. Revunkov
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030235833
DAMDID/RCDL (Selected Papers)
DAMDID/RCDL (Selected Papers)
This paper discusses an approach for active metagraph model storage. The formal definition of the metagraph data model is proposed. The example of data metagraph model is given. The formal definition of the metagraph function and rule agents are disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aadfc711e03113a9f52653e8470ac15c
https://doi.org/10.1007/978-3-030-23584-0_5
https://doi.org/10.1007/978-3-030-23584-0_5
Information technology and telecommunication is considered a new and quickly evolving branch of science. New technologies and services in IT and telecommunications impose successive changes and updates on related engineering majors, especially in pra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62de98c322e34abc28cbc91d063d74bc
https://doi.org/10.4018/978-1-5225-3395-5.ch028
https://doi.org/10.4018/978-1-5225-3395-5.ch028
Publikováno v:
IAES International Journal of Artificial Intelligence (IJ-AI). 5:158
Recently the World Wide Web are packed with huge quantities of information. From this view the user finds it difficult to get the relevant informations due to the increased of their quantities. This paper uses multi-agent system uses intelligent agen