bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0040066 |
utime |
20240103182628.0 |
mtime |
20060727235959.9 |
title
(primary) (eng) |
An algeraic approach to structural learning Bayesian networks |
specification |
|
serial |
ARLID |
cav_un_epca*0076601 |
ISBN |
2-84254-112-X |
title
|
IPMU 2006. Information Processing and Management of Uncertainty in Knowledge-Based Systems |
page_num |
2284-2291 |
publisher |
place |
Paris |
name |
Editions EDK |
year |
2006 |
|
editor |
name1 |
Bouchon-Meunier |
name2 |
B. |
|
editor |
|
|
title
(cze) |
Algebraický přístup k strukturálnímu učení Bayesovských sítí |
keyword |
learning Bayesian networks |
keyword |
standard imset |
keyword |
data vector |
author
(primary) |
ARLID |
cav_un_auth*0101202 |
name1 |
Studený |
name2 |
Milan |
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 |
GA201/04/0393 |
agency |
GA ČR |
ARLID |
cav_un_auth*0001808 |
|
research |
CEZ:AV0Z10750506 |
abstract
(eng) |
Basic idea is that every Bayesian network (BN) model is uniquely described by a certain integral vector, named standard imset. Every score-equivalent decomposable criterion appreas to be an affine function of the standard imset. Albegraic view can be extended to databases: every databases can be represented in form of a data vector (relative to the criterion), which is the vector of same dimension as the standard imset. |
abstract
(cze) |
Základní myšlenka je že každý model daný Bayesovskou sítí je popsán určitým celočíselným vektorem, nazývaným standardní imset. Každé skore-ekvivalentní rozložitelné kriterium se ukazuje být afinní funkcí standardního imsetu. Algebraický pohled může být rozšířen na databáze: každá databáze může být reprezentována ve formě datového vektoru (vzhledem ke kriteriu) což je vektor stejné dimense jako standardní imset. |
action |
ARLID |
cav_un_auth*0215840 |
name |
IMPU 2006 |
place |
Paris |
dates |
02.07.2006-07.07.2006 |
country |
FR |
|
reportyear |
2007 |
RIV |
BA |
permalink |
http://hdl.handle.net/11104/0133928 |
arlyear |
2006 |
mrcbU63 |
cav_un_epca*0076601 IPMU 2006. Information Processing and Management of Uncertainty in Knowledge-Based Systems 2-84254-112-X 2284 2291 Paris Editions EDK 2006 |
mrcbU67 |
Bouchon-Meunier B. 340 |
mrcbU67 |
Yager R. R. 340 |
|