| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0411134 |
| utime |
20240103182304.4 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Probabilistic neural network playing a simple game |
| publisher |
| place |
Florence |
| name |
University of Florence |
| pub_time |
2003 |
|
| specification |
|
| serial |
| title
|
Artificial Neural Networks in Pattern Recognition. Proceedings |
| page_num |
132-138 |
| editor |
|
| editor |
|
|
| keyword |
probabilistic neural networks |
| keyword |
finite mixtures |
| keyword |
EM algorithm |
| 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*0101197 |
| name1 |
Somol |
| name2 |
Petr |
| 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*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. |
|
| author
|
| ARLID |
cav_un_auth*0213065 |
| name1 |
Just |
| name2 |
P. |
| country |
CZ |
|
| COSATI |
12B |
| COSATI |
06D |
| cas_special |
| project |
| project_id |
GA402/01/0981 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0008962 |
|
| project |
| project_id |
GA402/03/1310 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0009030 |
|
| project |
| project_id |
KSK1019101 |
| agency |
GA AV ČR |
| ARLID |
cav_un_auth*0000219 |
|
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
The goal of the paper is to design a probabilistic neural network playing a simple two-player game "Tic-Tac-Toe". The game is considered as a problem of a repeating evaluation of preferences of possible moves. Assuming the probabilistic neural network in the role of the evaluation function we can solve the problem by estimating the probability distribution of advantageous moves. The unknown distribution is estimated in the form of a finite discrete mixture of product components by means of EM algorithm. |
| action |
| ARLID |
cav_un_auth*0213066 |
| name |
IAPR TC3 Workshop 2003 /1./ |
| place |
Florence |
| country |
IT |
| dates |
12.09.2003-13.09.2003 |
|
| RIV |
BB |
| department |
RO |
| permalink |
http://hdl.handle.net/11104/0131221 |
| ID_orig |
UTIA-B 20030121 |
| arlyear |
2003 |
| mrcbU10 |
2003 |
| mrcbU10 |
Florence University of Florence |
| mrcbU63 |
Artificial Neural Networks in Pattern Recognition. Proceedings 132 138 |
| mrcbU67 |
Marinai S. 340 |
| mrcbU67 |
Gori M. 340 |
|