| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0396771 |
| utime |
20240103203025.9 |
| mtime |
20131009235959.9 |
| title
(primary) (eng) |
A note on weighted combination methods for probability estimation |
| specification |
| page_count |
12 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0396446 |
| ISBN |
978-80-903834-8-7 |
| title
|
Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013 |
| publisher |
| place |
Prague |
| name |
Institute of Information Theory and Automation |
| year |
2013 |
|
| editor |
| name1 |
Guy |
| name2 |
Tatiana V. |
|
| editor |
| name1 |
Kárný |
| name2 |
Miroslav |
|
|
| keyword |
weighting methods |
| keyword |
parameter estimation |
| keyword |
Kerridge inaccuracy |
| keyword |
maximum entropy principle |
| keyword |
binomial distribution |
| author
(primary) |
| ARLID |
cav_un_auth*0263972 |
| name1 |
Sečkárová |
| name2 |
Vladimíra |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA13-13502S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0292725 |
|
| project |
| project_id |
SVV 267315 |
| agency |
GA UK |
| country |
CZ |
|
| abstract
(eng) |
To successfully learn from the information provided by avail- able information sources, the choice of automatic method combining them into one aggregate result plays an important role. To respect the reliability in the source’s performance each of them is assigned a weight, often subjectively influenced. To overcome this issue, we briefly describe the method based on Bayesian decision theory and elements of infor- mation theory. In particular we consider discrete-type information, rep- resented by probability mass functions (pmfs) and obtain an aggregate result, which has also form of pmf. This result of decision making pro- cess is found to be a weighted linear combination of available information. Besides the brief description of the novel method, the paper focuses on its comparison with other combination methods. Since we consider the available information and unknown aggregate as pmfs, we mainly focus on the case when the parameter of binomial distribution is of interest and the sources provide appropriate pmfs. |
| action |
| ARLID |
cav_un_auth*0294526 |
| name |
The 3rd International Workshop on Scalable Decision Making: Uncertainty, Imperfection, Deliberation held in conjunction with ECML/PKDD 2013 |
| place |
Prague |
| dates |
23.09.2013-23.09.2013 |
| country |
CZ |
|
| reportyear |
2014 |
| RIV |
BD |
| num_of_auth |
1 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0224701 |
| mrcbC61 |
1 |
| arlyear |
2013 |
| mrcbU63 |
cav_un_epca*0396446 Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013 978-80-903834-8-7 Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013 Prague Institute of Information Theory and Automation 2013 |
| mrcbU67 |
Guy Tatiana V. 340 |
| mrcbU67 |
Kárný Miroslav 340 |
|