bibtype C - Conference Paper (international conference)
ARLID 0470356
utime 20240103213522.0
mtime 20170203235959.9
title (primary) (eng) Construction of data filters for probabilistic mixtures
specification
page_count 6 s.
media_type C
serial
ARLID cav_un_epca*0472089
ISBN 9782912328311
title CSIMTA 2004: Complex Systems, Intelligence and Modern Technology Applications
publisher
place Paris
name SEE
year 2004
keyword Mixture modelling
keyword Filtering
keyword Splines
author (primary)
ARLID cav_un_auth*0101092
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
full_dept Department of Adaptive Systems
share 50
name1 Guy
name2 Tatiana Valentine
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101124
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
share 50
name1 Kárný
name2 Miroslav
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2016/AS/guy-0470356.pdf
cas_special
project
ARLID cav_un_auth*0342381
project_id GA102/03/0049
agency GA ČR
project
ARLID cav_un_auth*0342382
project_id GP102/03/P010
agency GA ČR
research CEZ:AV0Z10750506
abstract (eng) Application of smoothing signal filtering within multimodel system modelling is concerned. The approach used describes a system as a weighted sum of local models represented via probability models with an appropriate regression structure. The spline-based filtering of continuous time signals is considered.
action
ARLID cav_un_auth*0342380
name CSIMTA´04
dates 20040919
mrcbC20-s 20040922
place Cherbourg
country FR
RIV BC
reportyear 2017
num_of_auth 2
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0269439
mrcbC61 1
confidential S
arlyear 2004
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0472089 CSIMTA 2004: Complex Systems, Intelligence and Modern Technology Applications 9782912328311 Paris SEE 2004