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Randomized Machine Learning of Nonlinear Models with Application to Forecasting the Development of an Epidemic Process

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 models. Issues related to the application of such mod...

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Detalles Bibliográficos
Autor principal: Popkov, A. Yu.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273573/
http://dx.doi.org/10.1134/S0005117921060060