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