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 |
|