bibtype |
K -
Conference Paper (Czech conference)
|
ARLID |
0636592 |
utime |
20250620125659.7 |
mtime |
20250616235959.9 |
title
(primary) (eng) |
Discounting or Optimizing? Different Approaches to Pseudo-Belief Function Correction |
specification |
page_count |
12 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0636591 |
ISBN |
978-80-7378-525-3 |
title
|
Proceedings of the 13th Workshop on Uncertainty Processing (WUPES’25) |
page_num |
104-115 |
publisher |
place |
Prague |
name |
MatfyzPress |
year |
2025 |
|
editor |
name1 |
Studený |
name2 |
Milan |
|
editor |
|
editor |
name1 |
Capotorti |
name2 |
Andrea |
|
editor |
name1 |
Csirmaz |
name2 |
László |
|
editor |
name1 |
Jiroušek |
name2 |
Radim |
|
editor |
name1 |
Kleiter |
name2 |
Gernot D. |
|
editor |
name1 |
Shenoy |
name2 |
Prakash P. |
|
|
keyword |
belief function |
keyword |
learning |
keyword |
computational geometry |
author
(primary) |
ARLID |
cav_un_auth*0100740 |
name1 |
Daniel |
name2 |
Milan |
institution |
UIVT-O |
full_dept (cz) |
Oddělení složitých systémů |
full_dept (eng) |
Department of Complex Systems |
fullinstit |
Ústav informatiky AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0101118 |
name1 |
Jiroušek |
name2 |
Radim |
institution |
UTIA-B |
full_dept (cz) |
Matematická teorie rozhodování |
full_dept |
Department of Decision Making Theory |
department (cz) |
MTR |
department |
MTR |
full_dept |
Department of Decision Making Theory |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0216188 |
name1 |
Kratochvíl |
name2 |
Václav |
institution |
UTIA-B |
full_dept (cz) |
Matematická teorie rozhodování |
full_dept |
Department of Decision Making Theory |
department (cz) |
MTR |
department |
MTR |
full_dept |
Department of Decision Making Theory |
country |
CZ |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
source |
|
cas_special |
abstract
(eng) |
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. |
action |
ARLID |
cav_un_auth*0489177 |
name |
Workshop on Uncertainty Processing - WUPES 2025 /13./ |
dates |
20250604 |
mrcbC20-s |
20250607 |
place |
Třešť |
country |
CZ |
|
RIV |
BA |
FORD0 |
10000 |
FORD1 |
10100 |
FORD2 |
10102 |
reportyear |
2026 |
num_of_auth |
3 |
presentation_type |
PR |
inst_support |
RVO:67985556 |
inst_support |
RVO:67985807 |
permalink |
https://hdl.handle.net/11104/0367707 |
confidential |
S |
arlyear |
2025 |
mrcbU14 |
SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
WOS |
mrcbU56 |
pdf |
mrcbU63 |
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 |
mrcbU67 |
Studený Milan 340 |
mrcbU67 |
Ay Nihat 340 |
mrcbU67 |
Capotorti Andrea 340 |
mrcbU67 |
Csirmaz László 340 |
mrcbU67 |
Jiroušek Radim 340 |
mrcbU67 |
Kleiter Gernot D. 340 |
mrcbU67 |
Shenoy Prakash P. 340 |
|