bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0410773 |
utime |
20240103182238.1 |
mtime |
20060210235959.9 |
title
(primary) (eng) |
Detection of independence relations from persegrams |
publisher |
place |
Praha |
name |
VŠE |
pub_time |
2001 |
|
specification |
|
serial |
title
|
Proceedings of the 4th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty |
page_num |
52-62 |
editor |
|
editor |
|
|
keyword |
multidimensional models |
keyword |
probability theory |
keyword |
conditional independence |
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 |
12B |
cas_special |
project |
project_id |
LN00B107 |
agency |
GA MŠk |
ARLID |
cav_un_auth*0001461 |
|
project |
project_id |
1999-24 |
agency |
AKTION |
country |
CZ |
|
research |
AV0Z1075907 |
abstract
(eng) |
Procedures for computation with multidimensional models (multidimensional probability distributions) are efficient only for models with specific independence structure. Therefore, it is of great importance to learn the independence structure. The paper presents a solution of this task for models represented by generating sequences. |
action |
ARLID |
cav_un_auth*0212877 |
name |
Czec-Japan Seminar on Data Analysis and Decision Making under Uncertainty /4./ |
place |
Jindřichův Hradec |
country |
CZ |
dates |
14.09.2001-17.09.2001 |
|
RIV |
BB |
department |
MTR |
permalink |
http://hdl.handle.net/11104/0130861 |
ID_orig |
UTIA-B 20010242 |
arlyear |
2001 |
mrcbU10 |
2001 |
mrcbU10 |
Praha VŠE |
mrcbU63 |
Proceedings of the 4th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty 52 62 |
mrcbU67 |
Jiroušek R. 340 |
mrcbU67 |
Vejnarová J. 340 |
|