Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Yuri A. Dubnov"'
Autor:
Yuri A. Dubnov, Alexandr V. Boulytchev
Publikováno v:
Mathematics, Vol 11, Iss 18, p 4000 (2023)
The work is devoted to the development of a maximum entropy estimation method with soft randomization for restoring the parameters of probabilistic mathematical models from the available observations. Soft randomization refers to the technique of add
Externí odkaz:
https://doaj.org/article/4796abc8627845388337dd203c6d6143
Publikováno v:
Mathematics, Vol 11, Iss 17, p 3651 (2023)
This paper is devoted to problem-oriented reinforcement methods for the numerical implementation of Randomized Machine Learning. We have developed a scheme of the reinforcement procedure based on the agent approach and Bellman’s optimality principl
Externí odkaz:
https://doaj.org/article/5288043a98c044f4ad0f28d28293c122
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3710 (2022)
This paper proposes a clustering method based on a randomized representation of an ensemble of possible clusters with a probability distribution. The concept of a cluster indicator is introduced as the average distance between the objects included in
Externí odkaz:
https://doaj.org/article/6b54ebf10beb49fca82e42ac1aa9b849
Publikováno v:
Mathematics, Vol 8, Iss 7, 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://doaj.org/article/b704622f92f94712b86dd213b5a17b26
Publikováno v:
Mathematics, Vol 4, Iss 1, p 16 (2016)
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://doaj.org/article/f62dcbf7834645f0913ce7954103c0e9
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
