Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Vadim Mottl"'
Publikováno v:
2021 3rd International Conference on Information Technology and Computer Communications.
Estimation of dependencies from empirical data in a growing class of models is inevitably concerned with choosing the value of a structural parameter responsible for the model’s complexity. The most popular cross-validation schemes, in particular,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7d463c29cc3208b71761558f5605f7c
https://doi.org/10.1145/3473465.3473474
https://doi.org/10.1145/3473465.3473474
Autor:
Antiplagiat, Rita Kuznetsova, Dorodnicyn Cc Frs Csc Ras, Vadim Mottl, Oleg Bakhteev, Kamil Safin, Dorodnicyn Cc Frs Csc Ras Antiplagiat, Andrey Ivahnenko, Aleksandr Ogaltsov, Yury Chekhovich, Pavel Botov, Mipt, Marina Suvorova, Andrey Khazov, Tatyana Gorlenko
Publikováno v:
Computational Linguistics and Intellectual Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d121f282d1d7038c1617ca1f8c32fbc5
https://doi.org/10.28995/2075-7182-2021-20-47-57
https://doi.org/10.28995/2075-7182-2021-20-47-57
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18680d30d9e727b7de1fb19d333c3c9b
https://doi.org/10.1109/sibircon48586.2019.8958417
https://doi.org/10.1109/sibircon48586.2019.8958417
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd08a96955869725a5212454c20a363d
https://doi.org/10.1109/sibircon48586.2019.8958286
https://doi.org/10.1109/sibircon48586.2019.8958286
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:
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
Autor:
Valentina Sulimova, Vadim Mottl
Publikováno v:
Braverman Readings in Machine Learning. Key Ideas from Inception to Current State ISBN: 9783319994918
Braverman Readings in Machine Learning
Braverman Readings in Machine Learning
This paper contains a comprehensive survey of possible ways for potential functions design on sets of signals and symbolic sequences. Significant emphasis is placed on a generalized probabilistic approach to construction of potential functions. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::853f59c004094c81169486f00eed4446
https://doi.org/10.1007/978-3-319-99492-5_1
https://doi.org/10.1007/978-3-319-99492-5_1
Publikováno v:
Braverman Readings in Machine Learning. Key Ideas from Inception to Current State ISBN: 9783319994918
Braverman Readings in Machine Learning
Braverman Readings in Machine Learning
Emmanuel Braverman was one of the very few thinkers who, during his extremely short life, managed to inseminate several seemingly completely different areas of science. This paper overviews one of the knowledge areas he essentially affected in the si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab8205aed9b0eae301b253f4f973f2d5
https://doi.org/10.1007/978-3-319-99492-5_3
https://doi.org/10.1007/978-3-319-99492-5_3
Publikováno v:
Machine Learning and Data Mining in Pattern Recognition ISBN: 9783319961323
MLDM (2)
MLDM (2)
We consider the problem of regression estimation under a complex of additional assumptions. First, the regression coefficients are assumed to be doubly constrained by individual non-negativity inequalities along with the unit-sum equality. Second, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26d730d9e65b210ff18ae49a281f245b
https://doi.org/10.1007/978-3-319-96133-0_30
https://doi.org/10.1007/978-3-319-96133-0_30
Publikováno v:
Machine Learning and Data Mining in Pattern Recognition ISBN: 9783319624150
MLDM
MLDM
The problem of estimating time-varying regression inevitably concerns the necessity to choose the appropriate level of model volatility – ranging from the full stationarity of instant regression models to their absolute independence of each other.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8593528ce6c422fc88a2f1e5aa2c6514
https://doi.org/10.1007/978-3-319-62416-7_31
https://doi.org/10.1007/978-3-319-62416-7_31