| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0106360 |
| utime |
20240103173138.6 |
| mtime |
20050324235959.9 |
| title
(primary) (eng) |
Knowledge-based decision-making supported by compositional models |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0033112 |
| title
|
Multiple Participant Decision Making |
| page_num |
135-148 |
| ISBN |
0-9751004-5-9 |
| publisher |
| place |
Adelaide |
| name |
Advanced Knowledge International |
| year |
2004 |
|
|
| title
(cze) |
Využití kompozicionálních modelů pro podporu rozhodování |
| keyword |
probability |
| keyword |
multidimensional distribution |
| keyword |
Bayesian network |
| author
(primary) |
| ARLID |
cav_un_auth*0101118 |
| name1 |
Jiroušek |
| name2 |
Radim |
| institution |
UTIA-B |
| full_dept |
Department of Decision Making Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
12A |
| cas_special |
| project |
| project_id |
IAA2075302 |
| agency |
GA AV ČR |
| ARLID |
cav_un_auth*0001801 |
|
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
The goal of this contribution is to illustrate that a new approach for multidimensional probability distribution representation is a proper tool for representing knowledge of various applicational areas. Namely, the approach, which is known under the name of Compositional Models, is based on the idea of composing a multidimensional distribution from a great number of low-dimensional ones. |
| abstract
(cze) |
Cílem článku je představit nový nástroj pro reprezentaci mnohodimezionálních pravděpodobnostních distribucí a ukázat, že v mnoha aplikačních oblastech je vhodným nástrojem pro reprezentaci znalostí. Jedná se o tak zvané kompozicionální modely, které jsou založeny na myšlence, že mnohodimenzionální distribuci je možno sestavit z velkého počtu distribucí málodimenzionálnch |
| action |
| ARLID |
cav_un_auth*0129852 |
| name |
Workshop on Computer-Intensive Methods in Control and Data Processing 2004 |
| place |
Prague |
| dates |
12.05.2004-14.05.2004 |
| country |
CZ |
|
| reportyear |
2005 |
| RIV |
BA |
| permalink |
http://hdl.handle.net/11104/0013542 |
| ID_orig |
UTIA-B 20040172 |
| arlyear |
2004 |
| mrcbU63 |
cav_un_epca*0033112 Multiple Participant Decision Making 0-9751004-5-9 135 148 Adelaide Advanced Knowledge International 2004 International Series on Advanced Intelligence. 9 |
| mrcbU67 |
Andrýsek J. 340 |
| mrcbU67 |
Kárný M. 340 |
| mrcbU67 |
Kracík J. 340 |
|