Original title: Discounting or Optimizing? Different Approaches to Pseudo-Belief Function Correction
Authors: Daniel, Milan ; Jiroušek, Radim ; Kratochvíl, Václav
Document type: Papers
Conference/Event: Workshop on Uncertainty Processing - WUPES 2025 /13./, Třešť (CZ), 20250604
Year: 2025
Language: eng
Abstract: We present and compare several approaches for transforming pseudo-belief functions, constructed from Jeffreys confidence intervals on observational data, into proper belief functions. Two main classes of methods are examined: one based on polyhedral geometry using various optimization strategies, and the other employing generalized belief discounting. Finally, the proposed methods are evaluated on real cybersecurity data and compared with standard upper and lower approximations of pseudo-belief.
Keywords: belief function; computational geometry; learning
Host item entry: Proceedings of the 13th Workshop on Uncertainty Processing (WUPES’25), ISBN 978-80-7378-525-3
Note: Související webová stránka: https://wupes.utia.cas.cz/2025/Proceedings.pdf#page=113

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2025/MTR/jirousek-0636592.pdf
Original record: https://hdl.handle.net/11104/0367707

Permalink: http://www.nusl.cz/ntk/nusl-680523


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