bibtype C - Conference Paper (international conference)
ARLID 0410856
utime 20240103182244.1
mtime 20060210235959.9
ISBN 1-892512-97-1
title (primary) (eng) Knowledge representation by compositional models
publisher
place Las Vegas
name CSREA Press
pub_time 2002
specification
page_count 7 s.
serial
title Proceedings of the International Conference on Information and Knowledge Engineering
page_num 117-123
editor
name1 Arabnia
name2 H. R.
editor
name1 Mun
name2 Y.
editor
name1 Prasad
name2 B.
keyword uncertain knowledge
keyword probability
keyword multidimensional distribution
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 GA201/02/1269
agency GA ČR
ARLID cav_un_auth*0005739
project
project_id KONTAKT 1999-24
agency AKTION
country AT
research CEZ:AV0Z1075907
abstract (eng) This paper advocates a probabilistic method for uncertain knowledge representation and processing. In contrast to most other approaches, which are based on graphical Markov modelling (most popular are Bayesian networks, for which the dependence structure is represented by acyclic directed graphs), the described method is rather procedural. It describes a process by which a multidimensional distribution can be composed from pieces of "local knowledge", i.e., from a system of low-dimensional distributions.
action
ARLID cav_un_auth*0212930
name International Conference on Information and Knowledge Engineering - IKE'02
place Las Vegas
country US
dates 24.06.2002-27.06.2002
RIV BA
department MTR
permalink http://hdl.handle.net/11104/0130943
ID_orig UTIA-B 20020070
arlyear 2002
mrcbU10 2002
mrcbU10 Las Vegas CSREA Press
mrcbU12 1-892512-97-1
mrcbU63 Proceedings of the International Conference on Information and Knowledge Engineering 117 123
mrcbU67 Arabnia H. R. 340
mrcbU67 Mun Y. 340
mrcbU67 Prasad B. 340