Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Larisa Pronicheva"'
Publikováno v:
Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020 ISBN: 9783030655952
Currently the volume of information on the Internet global network is inclined to increase. It affects various areas of activity. The paper presents the issue of identifying and analyzing complex objects in the context of information sources devoted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96407c149eac02633b54f9844bc3a8b4
https://doi.org/10.1007/978-3-030-65596-9_63
https://doi.org/10.1007/978-3-030-65596-9_63
Publikováno v:
BICA
The paper reviews the principles of designing websites, including the HTML 5 markup and schemes of organizing information on websites; it evaluates the possibility for using Schema.org as a core of the database of the Multiagent Information Analytica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58baa39f9a27d095ab5530a61c7245eb
https://doi.org/10.1016/j.procs.2018.11.054
https://doi.org/10.1016/j.procs.2018.11.054
Autor:
Evheniy Tretyakov, Ilya Galin, Larisa Pronicheva, Kristina Ionkina, Andrey Cherkasskiy, Boris Onykiy
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319639390
This paper describes the methodology of learning curve analysis for development of incoming material clustering neural network. This methodology helps to understand deeply the learning curve adequate level and to bring learning curve structure to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42682956d769bb1e4c845c2dddc2ef61
https://doi.org/10.1007/978-3-319-63940-6_18
https://doi.org/10.1007/978-3-319-63940-6_18
Autor:
Evheniy Tretyakov, Alyona Suslina, Anastasia Ananieva, Boris Onykiy, Alexey Artamonov, Larisa Pronicheva, Kristina Ionkina
Publikováno v:
BICA
Large scientific organizations, laboratories, departments and scientific groups exercise need in information support due to issues related to the navigation among huge amount of information in the Internet that is growing every day. This paper descri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fa5a4cb582fdfc28327818eac38f6b7