bibtype C - Conference Paper (international conference)
ARLID 0411195
utime 20240103182308.9
mtime 20060210235959.9
ISBN 80-245-0546-0
title (primary) (eng) Noisy-or classifier
publisher
place Prague
name University of Economics
pub_time 2003
specification
page_count 12 s.
serial
title Proceedings of the 6th Workshop on Uncertainty Processing
page_num 291-302
editor
name1 Vejnarorová
name2 J.
keyword artificial intelligence
keyword classification
keyword Bayesian networks
author (primary)
ARLID cav_un_auth*0101228
name1 Vomlel
name2 Jiří
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 09J
COSATI 12B
COSATI 09N
cas_special
project
project_id GA201/01/1482
agency GA ČR
ARLID cav_un_auth*0005723
research CEZ:AV0Z1075907
abstract (eng) We discuss application of the noisy-or model to classification with large number of attributes. An example of such a task is categorization of text documents, where attributes are single words from the documents.
action
ARLID cav_un_auth*0213068
name WUPES 2003. Workshop on Uncertainty Processing /6./
place Hejnice
country CZ
dates 24.09.2003-27.09.2003
RIV JD
department MTR
permalink http://hdl.handle.net/11104/0131281
ID_orig UTIA-B 20030182
arlyear 2003
mrcbU10 2003
mrcbU10 Prague University of Economics
mrcbU12 80-245-0546-0
mrcbU63 Proceedings of the 6th Workshop on Uncertainty Processing 291 302
mrcbU67 Vejnarorová J. 340