Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Valentina Sulimova"'
Publikováno v:
2022 VIII International Conference on Information Technology and Nanotechnology (ITNT).
Autor:
Alexandra Makarova, Valentina Sulimova
Publikováno v:
2021 International Conference on Information Technology and Nanotechnology (ITNT).
Publikováno v:
ICPR
This paper relies on the Mean Decision Rule (MDR) method for solving large-scale binary SVM problems. It consists in taking small random samples of the full dataset and separate training for each of them with consecutive averaging the respective indi
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
In the previous work, we proposed the Mean Decision Rule method for fast approximate solution of the two- class SVM problem in a feature space. This paper generalized the proposed approach to the case of training in a space generated by a kernel func
Autor:
Alexander Tatarchuk, Vadim Mottl, Ilya Pugach, Valentina Sulimova, Alexey Morozov, Olga Krasotkina
Publikováno v:
2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).
Usually, when speaking about dependence estimation in big sets of empirical data, it is adopted to suggest that the set of precedents does not fit in the memory of one computer, and some technology of distributed computing is required. However, even
Quick breast cancer detection via classification of evoked EEG potentials in the mammologist's brain
Publikováno v:
2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).
Electroencephalography is a method of testing the electrical activity of the brain by jointly processing electrical signals registered at several points on the surface of the skull. It was originally invented to study mechanisms by which human behavi
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030353995
IDP
IDP
This paper addresses the problem of intellectual human herpes viruses recognition based on the analysis of their protein sequences. To compare proteins, we use a new dissimilarity measure based on finding an optimal sequence alignment. In the previou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a9f8d1a8e4c4dc13b9880ba0e51d4e9
https://doi.org/10.1007/978-3-030-35400-8_5
https://doi.org/10.1007/978-3-030-35400-8_5
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030365912
RuSCDays
RuSCDays
Support Vector Machines (SVM) is one of the most convenient and reliable tools for solving the two-class recognition problem. But it has very high computational complexity in the case of large training sets. In our previous paper we proposed a simple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65f9f0344fcb14bae504a10630443600
https://doi.org/10.1007/978-3-030-36592-9_48
https://doi.org/10.1007/978-3-030-36592-9_48
Publikováno v:
Journal of Physics: Conference Series. 1368:052039
This paper addresses the problem of intellectual human herpes viruses recognition based on the analysis of their protein sequences. To compare proteins, we use a new dissimilarity measure based on finding an optimal sequence alignment. In the previou
Publikováno v:
Machine Learning and Data Mining in Pattern Recognition ISBN: 9783319961354
MLDM (1)
MLDM (1)
Ultrasound testing is a popular technique to find some hidden rail damages. In this paper we focus on the modern Russian railway flaw detectors, such as AVICON-14, which produce the results of ultrasound testing in the form of B-scan signals. We prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d33b6e2097d540c9e8a49308143d73df
https://doi.org/10.1007/978-3-319-96136-1_2
https://doi.org/10.1007/978-3-319-96136-1_2