0636592 20260226095223.920250616235959.9 12 s. P cav_un_epca*0636591978-80-7378-525-3104-115PragueMatfyzPress2025StudenýMilanAyNihatCapotortiAndreaCsirmazLászlóJiroušekRadimKleiterGernot D.ShenoyPrakash P. belief function learning computational geometry cav_un_auth*0100740 Daniel Milan UIVT-O Oddělení složitých systémů Department of Complex Systems Ústav informatiky AV ČR, v. v. i. cav_un_auth*0101118 Jiroušek Radim UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0216188 Kratochvíl Václav UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory CZ Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2025/MTR/jirousek-0636592.pdf^[object Object]^[object Object] 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. cav_un_auth*0489177 Workshop on Uncertainty Processing - WUPES 2025 /13./ 20250604 20250607 Třešť CZ BA 10000 10100 10102 2026 3 UIVT-O 10000 10200 10201 PR RVO:67985556 RVO:67985807 https://hdl.handle.net/11104/0367707 S 2025 SCOPUS PUBMED WOS pdf cav_un_epca*0636591 Proceedings of the 13th Workshop on Uncertainty Processing (WUPES’25) 978-80-7378-525-3 104 115 Prague MatfyzPress 2025 719 Studený Milan 340 Ay Nihat 340 Capotorti Andrea 340 Csirmaz László 340 Jiroušek Radim 340 Kleiter Gernot D. 340 Shenoy Prakash P. 340