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Evidence–Theoretical Modeling of Uncertainty Induced by Posterior Probability Distributions Cover

Evidence–Theoretical Modeling of Uncertainty Induced by Posterior Probability Distributions

International Journal of Applied Mathematics and Computer Science
Volume 35 (2025): Issue 1 (March 2025)
By: Daniel Kałuża,  Andrzej Janusz and  Dominik Ślęzak  
Open Access
|Apr 2025

Authors

Daniel Kałuża

d.kaluza@mimuw.edu.pl

Institute of Informatics, University of Warsaw, Warsaw, Poland

Andrzej Janusz

andrzej.janusz@qut.edu.au

Institute of Informatics, University of Warsaw, Warsaw, Poland
School of Information Systems, Queensland University of Technology Gardens Point Campus, Brisbane, Australia

Dominik Ślęzak

dominik.slezak@qedsoftware.com

Institute of Informatics, University of Warsaw, Warsaw, Poland
QED Software ul, Warsaw, Poland
DOI: https://doi.org/10.61822/amcs-2025-0003 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 33 - 43
Submitted on: Jun 5, 2024
Accepted on: Jan 9, 2025
Published on: Apr 1, 2025
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
theory of evidence,
posterior probabilities,
measures of uncertainty,
active learning
Related subjects:
Mathematics,
Applied mathematics

© 2025 Daniel Kałuża, Andrzej Janusz, Dominik Ślęzak, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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