| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0387929 |
| utime |
20240103202030.2 |
| mtime |
20130207235959.9 |
| WOS |
000312969600046 |
| DOI |
10.1007/978-3-642-33042-1_46 |
| title
(primary) (eng) |
Evidential Networks from a Different Perspective |
| specification |
| page_count |
8 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0387928 |
| ISBN |
978-3-642-33041-4 |
| title
|
Synergies of Soft Computing and Statistics for Intelligent Data Analysis |
| page_num |
429-436 |
| publisher |
| place |
Heidelberg |
| name |
Springer |
| year |
2012 |
|
|
| keyword |
evidence theory |
| keyword |
conditioning |
| keyword |
conditional independence |
| keyword |
evidential networks |
| author
(primary) |
| ARLID |
cav_un_auth*0101223 |
| name1 |
Vejnarová |
| name2 |
Jiřina |
| full_dept (cz) |
Matematická teorie rozhodování |
| full_dept (eng) |
Department of Decision Making Theory |
| department (cz) |
MTR |
| department (eng) |
MTR |
| institution |
UTIA-B |
| full_dept |
Department of Decision Making Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GAP402/11/0378 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273630 |
|
| abstract
(eng) |
Bayesian networks are, at present, probably the most popular representative of so-called graphical Markov models. Naturally, several attempts to construct an analogy of Bayesian networks have also been made in other frameworks as e.g. in possibility theory, evidence theory or in more general frameworks of valuation-based systems and credal sets. We collect previously obtained results concerning conditioning, conditional independence and irrelevance allowing to define a new type of evidential networks, based on conditional basic assignments. These networks can be seen as a generalization of Bayesian networks, however, they are less powerful than e.g. so-called compositional models, as we demonstrate by a simple example. |
| action |
| ARLID |
cav_un_auth*0288302 |
| name |
Soft Methods In Probability and Statistics |
| place |
Konstanz |
| dates |
04.10.2012-06.10.2012 |
| country |
DE |
|
| reportyear |
2013 |
| RIV |
BA |
| num_of_auth |
1 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0217945 |
| arlyear |
2012 |
| mrcbU34 |
000312969600046 WOS |
| mrcbU63 |
cav_un_epca*0387928 Synergies of Soft Computing and Statistics for Intelligent Data Analysis 978-3-642-33041-4 429 436 Heidelberg Springer 2012 Advances in Intelligent Systems and Computing 190 |
| mrcbU67 |
Kruse R. 340 |
| mrcbU67 |
Berthold M. R. 340 |
| mrcbU67 |
Moewes Ch. 340 |
| mrcbU67 |
Gil M. A. 340 |
| mrcbU67 |
Grzegorzewski P. 340 |
| mrcbU67 |
Hryniewicz O. 340 |
|