bibtype |
J -
Journal Article
|
ARLID |
0447357 |
utime |
20240903170633.0 |
mtime |
20150922235959.9 |
WOS |
000361266300009 |
SCOPUS |
84940054304 |
DOI |
10.14736/kyb-2015-3-0508 |
title
(primary) (eng) |
Generalizations of the noisy-or model |
specification |
page_count |
17 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0297163 |
ISSN |
0023-5954 |
title
|
Kybernetika |
volume_id |
51 |
volume |
3 (2015) |
page_num |
508-524 |
publisher |
name |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
|
keyword |
Bayesian networks |
keyword |
noisy-or model |
keyword |
classification |
keyword |
generalized linear models |
author
(primary) |
ARLID |
cav_un_auth*0101228 |
name1 |
Vomlel |
name2 |
Jiří |
full_dept (cz) |
Matematická teorie rozhodování |
full_dept (eng) |
Department of Decision Making Theory |
department (cz) |
MTR |
department (eng) |
MTR |
institution |
UTIA-B |
full_dept |
Department of Decision Making Theory |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
GA13-20012S |
agency |
GA ČR |
ARLID |
cav_un_auth*0292670 |
|
abstract
(eng) |
We generalize the noisy-or model. The generalizations are three-fold. First, we allow parents to be multivalued ordinal variables. Second, parents can have both positive and negative influences on their common child. Third, we describe how the suggested generalization can be extended to multivalued child variables. The major advantage of our generalizations is that they require only one parameter per parent. We suggest a model learning method and report results of experiments on the Reuters text classification data. The generalized noisy-or models achieve equal or better performance than the standard noisy-or. An important property of the noisy-or model and of its generalizations suggested in this paper is that it allows more efficient exact inference than logistic regression models do. |
reportyear |
2016 |
RIV |
JD |
num_of_auth |
1 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0249419 |
confidential |
S |
mrcbC83 |
RIV/67985556:_____/15:00447357!RIV16-AV0-67985556 191684453 nejednotny kod oboru UTIA-B |
mrcbC83 |
RIV/67985556:_____/15:00447357!RIV16-GA0-67985556 191719569 nejednotny kod oboru UTIA-B |
mrcbT16-e |
COMPUTERSCIENCECYBERNETICS |
mrcbT16-j |
0.305 |
mrcbT16-s |
0.321 |
mrcbT16-4 |
Q2 |
mrcbT16-B |
30.893 |
mrcbT16-C |
11.364 |
mrcbT16-D |
Q3 |
mrcbT16-E |
Q3 |
arlyear |
2015 |
mrcbU14 |
84940054304 SCOPUS |
mrcbU34 |
000361266300009 WOS |
mrcbU63 |
cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 51 č. 3 2015 508 524 Ústav teorie informace a automatizace AV ČR, v. v. i. |
|