Parameterization of the Stochastic Model for Evaluating Variable Small Data in the Shannon Entropy Basis

Parameterization of the Stochastic Model for Evaluating Variable Small Data in the Shannon Entropy Basis

The article analytically summarizes the idea of applying Shannon’s principle of entropy maximization to sets that represent the results of observations of the “input” and “output” entities of the stochastic model for evaluating variable small data. To formalize this idea, a sequential transition fro...

Full description

Bibliographic Details
Main Authors: Oleh Bisikalo, Vyacheslav Kharchenko, Viacheslav Kovtun, Iurii Krak, Sergii Pavlov
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Entropy
Subjects:
Shannon entropy
machine learning
evaluation of small data
measurement errors
stochastic model
parametric optimization
Online Access:https://www.mdpi.com/1099-4300/25/2/184

Similar Items

Similar Items