| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0507137 |
| utime |
20240103222344.8 |
| mtime |
20190801235959.9 |
| SCOPUS |
85006014956 |
| WOS |
000389947600005 |
| DOI |
10.1007/978-3-319-49046-5_5 |
| title
(primary) (eng) |
Sequential Decision Process Supported by a Compositional Model |
| specification |
| page_count |
13 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0507136 |
| ISBN |
978-3-319-49045-8 |
| ISSN |
0302-9743 |
| title
|
Integrated Uncertainty in Knowledge Modelling and Decision Making |
| page_num |
51-63 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2016 |
|
| editor |
| name1 |
Huynh |
| name2 |
Van-Nam |
|
| editor |
| name1 |
Inuiguchi |
| name2 |
Masahiro |
|
| editor |
|
| editor |
| name1 |
Le |
| name2 |
Bao Nguyen |
|
| editor |
| name1 |
Denoeux |
| name2 |
Thierry |
|
|
| keyword |
Sequential decision-making |
| keyword |
Multidimensional models |
| keyword |
Probability distributions |
| keyword |
Composition |
| keyword |
Information theory |
| author
(primary) |
| ARLID |
cav_un_auth*0101118 |
| share |
80 |
| name1 |
Jiroušek |
| name2 |
Radim |
| institution |
UTIA-B |
| full_dept (cz) |
Matematická teorie rozhodování |
| full_dept (eng) |
Department of Decision Making Theory |
| department (cz) |
MTR |
| department (eng) |
MTR |
| full_dept |
Department of Decision Making Theory |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0261750 |
| name1 |
Váchová |
| name2 |
L. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0353428 |
| project_id |
GA15-00215S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
The goal of the paper is to describe a classical sequential decision process that is often used for both medical and technical diagnosis making in a relatively new theoretical setting. For this, we represent the background knowledge, which is assumed to be expressed in the form of a multidimensional probability distribution, as a compositional model. |
| action |
| ARLID |
cav_un_auth*0377840 |
| name |
5th International Symposium, IUKM 2016 |
| dates |
20161130 |
| mrcbC20-s |
20161202 |
| place |
Da Nang |
| country |
VN |
|
| RIV |
IN |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2020 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0298538 |
| confidential |
S |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Artificial Intelligence|Computer Science Information Systems|Computer Science Theory Methods |
| mrcbT16-s |
0.325 |
| mrcbT16-E |
Q2 |
| arlyear |
2016 |
| mrcbU14 |
85006014956 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000389947600005 WOS |
| mrcbU63 |
cav_un_epca*0507136 Integrated Uncertainty in Knowledge Modelling and Decision Making 978-3-319-49045-8 0302-9743 51 63 Integrated Uncertainty in Knowledge Modelling and Decision Making Cham Springer 2016 Lecture Notes in Artificial Intelligence LNAI 9978 |
| mrcbU67 |
340 Huynh Van-Nam |
| mrcbU67 |
340 Inuiguchi Masahiro |
| mrcbU67 |
340 Le Bac |
| mrcbU67 |
340 Le Bao Nguyen |
| mrcbU67 |
340 Denoeux Thierry |
|