| bibtype |
K -
Conference Paper (Czech conference)
|
| ARLID |
0106215 |
| utime |
20240103173125.5 |
| mtime |
20050324235959.9 |
| title
(primary) (eng) |
Thoughts on belief and model revision with uncertain evidence |
| specification |
|
| serial |
| title
|
Znalosti 2004. Sborník příspěvků 3.ročníku konference |
| page_num |
126-137 |
| ISBN |
80-248-0456-5 |
| publisher |
| place |
Ostrava |
| name |
VŠB TU |
| year |
2004 |
|
|
| keyword |
probabilistic models |
| keyword |
Bayesian networks |
| keyword |
belief revision |
| author
(primary) |
| ARLID |
cav_un_auth*0101228 |
| name1 |
Vomlel |
| name2 |
Jiří |
| institution |
UTIA-B |
| full_dept |
Department of Decision Making Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
12B |
| COSATI |
09N |
| cas_special |
| project |
| project_id |
GA201/02/1269 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0005739 |
|
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
Bayesian networks and other graphical probabilistic models became a popular framework for reasoning with uncertainty. Efficient methods have been developed for revising beliefs with new evidence. However, when the evidence is uncertain, i.e. represented by a probability distribution, different methods have been proposed. In this paper we analyze and compare these methods. The goal is to show in what cases they can be used correctly. |
| action |
| ARLID |
cav_un_auth*0129842 |
| name |
Znalosti 2004 /3./ |
| place |
Brno |
| dates |
22.02.2004-25.02.2004 |
| country |
CZ |
|
| reportyear |
2005 |
| RIV |
BD |
| permalink |
http://hdl.handle.net/11104/0013397 |
| ID_orig |
UTIA-B 20040025 |
| arlyear |
2004 |
| mrcbU63 |
Znalosti 2004. Sborník příspěvků 3.ročníku konference 80-248-0456-5 126 137 Ostrava VŠB TU 2004 |
| mrcbU67 |
Snášel V. 340 |
|