| bibtype |
J -
Journal Article
|
| ARLID |
0411265 |
| utime |
20240903170412.2 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Strictly modular probabilistic neural networks for pattern recognition |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0290321 |
| ISSN |
1210-0552 |
| title
|
Neural Network World |
| volume_id |
13 |
| volume |
6 (2003) |
| page_num |
599-615 |
| publisher |
| name |
Ústav informatiky AV ČR, v. v. i. |
|
|
| keyword |
neural networks |
| keyword |
distribution mixtures |
| keyword |
pattern recognition |
| author
(primary) |
| ARLID |
cav_un_auth*0101091 |
| name1 |
Grim |
| name2 |
Jiří |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0213065 |
| name1 |
Just |
| name2 |
P. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0101182 |
| name1 |
Pudil |
| name2 |
Pavel |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
09K |
| COSATI |
12B |
| COSATI |
06D |
| cas_special |
| project |
| project_id |
GA402/01/0981 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0008962 |
|
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
Considering the statistical pattern recognition we approximate the unknown class-conditional probability distributions by multivariate Bernoulli mixtures. We show that both the parameter optimization based on EM algorithm and the resulting Bayesian decision-making can be realized by a strictly modular probabilistic neural network. The autonomous adaptation of neurons includes only the locally available information. The properties of the sequential learning procedure are illustrated by numerical examples. |
| RIV |
BB |
| department |
RO |
| permalink |
http://hdl.handle.net/11104/0003519 |
| ID_orig |
UTIA-B 20030252 |
| arlyear |
2003 |
| mrcbU63 |
cav_un_epca*0290321 Neural Network World 1210-0552 Roč. 13 č. 6 2003 599 615 Ústav informatiky AV ČR, v. v. i. |
|