| bibtype |
V -
Research Report
|
| ARLID |
0315659 |
| utime |
20240111140710.9 |
| mtime |
20081202235959.9 |
| title
(primary) (eng) |
Fully probabilistic knowledge expression and incorporation |
| publisher |
| place |
Milano |
| name |
Istituto di Matematica Applicata e Tecnologie Informatiche |
| pub_time |
2008 |
|
| specification |
| page_count |
28 s. |
| media_type |
www |
|
| edition |
| name |
Research Report-Istituto di Matematica Applicata e Tecnologie Informatiche |
| volume_id |
8-10MI |
|
| keyword |
Bayesian estimation |
| keyword |
prior knowledge |
| keyword |
automatised knowledge elicitation |
| author
(primary) |
| ARLID |
cav_un_auth*0101124 |
| name1 |
Kárný |
| name2 |
Miroslav |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101061 |
| name1 |
Andrýsek |
| name2 |
Josef |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0205835 |
| name1 |
Bodini |
| name2 |
A. |
| country |
IT |
|
| author
|
| ARLID |
cav_un_auth*0101092 |
| name1 |
Guy |
| name2 |
Tatiana Valentine |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101138 |
| name1 |
Kracík |
| name2 |
Jan |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101168 |
| name1 |
Nedoma |
| name2 |
Petr |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0205836 |
| name1 |
Ruggeri |
| name2 |
F. |
| country |
IT |
|
| source |
|
| cas_special |
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| project |
| project_id |
2C06001 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0217685 |
|
| project |
| project_id |
GA102/08/0567 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239566 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Exploitation of prior knowledge in parameter estimation is vital whenever data is not informative enough. Elicitation and quantification of prior knowledge is a well-elaborated art in social and medical appliations but not in engineering ones. Frequently required involvment of a facilitator is mostly unrealistic due to either facilitators' high costs or the high complexitu of modelled relationships that cannot be grasped by the human. This paper provides a facilitator-free approach exploiting a methodology of knowledge sharing. The considered task assumes prospective models be indexed by an unknown finite-dimensional parameter. The parameter is estimated using (i) observed data; (ii) a prior probability density function (pdf); and (iii) uncertain expert's information on the modelled data. The parametric model specifies pdf of the system's output conditioned on realised data and parameter. |
| reportyear |
2009 |
| RIV |
BB |
| mrcbC52 |
4 O 4o 20231122133745.9 |
| permalink |
http://hdl.handle.net/11104/0165800 |
| arlyear |
2008 |
| mrcbTft |
\nSoubory v repozitáři: 0315659.pdf |
| mrcbU10 |
2008 |
| mrcbU10 |
Milano Istituto di Matematica Applicata e Tecnologie Informatiche |
| mrcbU56 |
textovy soubor |
|