bibtype |
J -
Journal Article
|
ARLID |
0445817 |
utime |
20240103210257.3 |
mtime |
20150723235959.9 |
title
(primary) (eng) |
DYNAMIC PARAMETER ESTIMATION BASED ON MINIMUM CROSS-ENTROPY METHOD FOR COMBINING INFORMATION SOURCES |
specification |
page_count |
8 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0393988 |
ISSN |
0204-9805 |
title
|
Pliska Studia Mathematica Bulgarica |
volume_id |
24 |
volume |
5 (2015) |
page_num |
181-188 |
|
keyword |
minimum cross-entropy principle |
keyword |
Kullback-Leibler divergence |
keyword |
dynamic diffusion estimation |
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 |
SVV 260225/2015 |
agency |
GA UK |
country |
CZ |
ARLID |
cav_un_auth*0318139 |
|
project |
project_id |
GA13-13502S |
agency |
GA ČR |
ARLID |
cav_un_auth*0292725 |
|
abstract
(eng) |
When combining information sources, e.g. measuring devices or experts, we deal with two problems: which combining method to choose (linear combination, geometric mean) and how to measure the reliability of the sources, i.e. how to assign the weights to them. We introduce a method which overcomes such shortcomings. Proposed method, based on minimization of the Kullback-Leibler divergence with specific constraints, directly combines data, i.e. probability vectors, thus no additional step to obtain the weights is needed. The detailed description of the proposed method and a comparison with recently introduced dynamic diffusion estimation, which heavily depends on the determination of the weights, form the core of this contribution. |
action |
ARLID |
cav_un_auth*0318138 |
name |
XVI-th International Summer Conference on Probability and Statistics (ISCPS-2014) |
place |
Pomorie |
dates |
21.6.-29.6.2014 |
country |
BG |
|
reportyear |
2016 |
RIV |
BB |
num_of_auth |
1 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0247988 |
cooperation |
ARLID |
cav_un_auth*0296001 |
institution |
MFF UK |
name |
Univerzita Karlova v Praze, Matematicko-fyzikální fakulta |
country |
CZ |
|
confidential |
S |
arlyear |
2015 |
mrcbU63 |
cav_un_epca*0393988 Pliska Studia Mathematica Bulgarica 0204-9805 Roč. 24 č. 5 2015 181 188 |
|