Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Alexey Y. Popkov"'
Publikováno v:
Informatics and Automation. 20:1010-1033
The paper is devoted to the forecasting of the COVID-19 epidemic by the novel method of randomized machine learning. This method is based on the idea of estimation of probability distributions of model parameters and noises on real data. Entropy-opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::687b50f7194bb3e9069774749876b4f1
https://doi.org/10.15622/20.5.1
https://doi.org/10.15622/20.5.1
Autor:
Alexey Y. Popkov
Publikováno v:
Automation and Remote Control
We develop a discrete approach in the theory of randomized machine learning that is aimed at application to nonlinear models. We formulate the problem of entropy estimation of probability distributions and measurement noise for discrete nonlinear mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee1cf8d8cfcd675d6b234b0e6887cb15
http://europepmc.org/articles/PMC8273573
http://europepmc.org/articles/PMC8273573
Publikováno v:
Journal of autism and developmental disorders. 51(9)
Individuals with ASD have been shown to have different pattern of functional connectivity. In this study, brain activity of participants with many and few autistic traits, was recorded using an fNIRS device, as participants preformed an interpersonal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ad3c644aeb4520c50eb81de629286c46
https://pubmed.ncbi.nlm.nih.gov/33206269
https://pubmed.ncbi.nlm.nih.gov/33206269
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research IV ISBN: 9783030605766
A multi-channel EEG signal is a time series for which there is no universally recognized mathematical model. The analysis and classification of such and many similar complex signals with an unknown generation mechanism requires the development of mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0523229a7398bb1e66c262146ff38fe7
https://doi.org/10.1007/978-3-030-60577-3_15
https://doi.org/10.1007/978-3-030-60577-3_15
Publikováno v:
Автоматика и телемеханика. :106-122
The direct and inverse projections (DIP) method was proposed to reduce the feature space to the given dimensions oriented to the problems of randomized machine learning and based on the procedure of “direct” and “inverse” design. The “proje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e1bd7be56192d5aca5f41d01c918fcb
https://doi.org/10.31857/s000523100002747-5
https://doi.org/10.31857/s000523100002747-5
Publikováno v:
Mathematics
Volume 8
Issue 7
Mathematics, Vol 8, Iss 1119, p 1119 (2020)
Volume 8
Issue 7
Mathematics, Vol 8, Iss 1119, p 1119 (2020)
We propose a new forecasting procedure that includes randomized hierarchical dynamic regression models with random parameters, measurement noises and random input. We developed the technology of entropy-randomized machine learning, which includes the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::728cef7e1b9978402e901e351f4904da
https://doi.org/10.3390/math8071119
https://doi.org/10.3390/math8071119
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319751801
We propose a new machine learning concept called Randomized Machine Learning, in which model parameters are assumed random and data are assumed to contain random errors. Distinction of this approach from “classical” machine learning is that optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::028d92de4563b31556d35c7e4a8802e2
https://doi.org/10.1007/978-3-319-75181-8_10
https://doi.org/10.1007/978-3-319-75181-8_10
Publikováno v:
Mathematics, Vol 4, Iss 1, p 16 (2016)
Mathematics; Volume 4; Issue 1; Pages: 16
Mathematics; Volume 4; Issue 1; Pages: 16
We propose a new method of randomized forecasting (RF-method), which operates with models described by systems of linear ordinary differential equations with random parameters. The RF-method is based on entropy-robust estimation of the probability de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f74f6253c99d457f47bb6340065c06f
http://www.mdpi.com/2227-7390/4/1/16
http://www.mdpi.com/2227-7390/4/1/16
Publikováno v:
AIP Conference Proceedings.
A new method for global optimization of Holder goal functions under compact sets given by inequalities is proposed. All functions are defined only algorithmically. The method is based on performing simple Monte Carlo trials and constructing the seque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52bdb65b7e384107ea5080927e596c76
https://doi.org/10.1063/1.4965343
https://doi.org/10.1063/1.4965343
Publikováno v:
European Journal of Operational Research. 164:811-828
Nonlinear dynamic systems with positive solutions and the parametric problem of entropy maximization (entropy operator) are considered. The continuity, differentiability and boundedness of the entropy operator and the boundedness of the solutions of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a731a66377ebe83ff38323082a773b3
https://doi.org/10.1016/j.ejor.2003.11.021
https://doi.org/10.1016/j.ejor.2003.11.021