Randomized machine learning of nonlinear models with application to forecasting the development of an epidemic process
type: Item
instance of: scholarly article
title: Randomized machine learning of nonlinear models with application to forecasting the development of an epidemic process
zbMATH Open document ID: 1471.93263
DOI: 10.1134/S0005117921060060
published in: Automation and Remote Control
publication date: 2021-09-14T00:00:00Z
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 92D30
zbMATH DE Number: 7395303
zbMATH Keywords: randomized machine learning
zbMATH Keywords: entropy
zbMATH Keywords: entropy-based estimation
zbMATH Keywords: forecasting
zbMATH Keywords: randomized forecasting
zbMATH Keywords: COVID-19
zbMATH Keywords: SARS-CoV-2
author: Alexey Yu. Popkov
describes a project that uses: PRMLT
MaRDI profile type: Publication
cites work: Q5483032
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: Q4770512
cites work: An introduction to support vector machines and other kernel-based learning methods.
cites work: Q3327527
cites work: Learning representations by back-propagating errors
cites work: Information Theory and Statistical Mechanics
cites work: Probability Theory
cites work: Communication Theory of Secrecy Systems*
cites work: Q3996120
cites work: Q4365235
cites work: Elements of randomized forecasting and its application to daily electrical load prediction in a regional power system
cites work: Mathematical epidemiology.
full work available at URL: s0005117921060060
OpenAlex ID: W3180235386
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description: scientific article; zbMATH DE number 7395303