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 |
|
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 |
|