bibtype	J - Journal Article
ARLID	0503809
utime	20241106135724.8
mtime	20190408235959.9
SCOPUS	85064231311
WOS	000469010600001
DOI	10.14736/kyb-2019-1-0001
title (primary) (eng)	Bayesian stopping rule in discrete parameter space with multiple local maxima
specification	page_count 11 s. media_type P
serial	ARLID cav_un_epca*0297163 ISSN 0023-5954 title Kybernetika volume_id 55 volume 1 (2019) page_num 1-11 publisher name Ústav teorie informace a automatizace AV ČR, v. v. i.
keyword	Bayesian estimation
keyword	global maximum
keyword	model structure
author (primary)	ARLID cav_un_auth*0101124 name1 Kárný name2 Miroslav institution UTIA-B full_dept (cz) Adaptivní systémy full_dept (eng) Department of Adaptive Systems department (cz) AS department (eng) AS full_dept Department of Adaptive Systems fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url http://library.utia.cas.cz/separaty/2019/AS/karny-0503809.pdf
source	url https://www.kybernetika.cz/content/2019/1/1
cas_special	project ARLID cav_un_auth*0331019 project_id GA16-09848S agency GA ČR abstract (eng) The paper presents the stopping rule for random search for Bayesian model-structure estimation by maximising the likelihood function. The inspected maximisation uses random restarts to cope with local maxima in discrete space. The stopping rule, suitable for any maximisation of this type, exploits the probability of finding global maximum implied by the number of local maxima already found. It stops the search when this probability crosses a given threshold. The inspected case represents an important example of the search in a huge space of hypotheses so common in artificial intelligence, machine learning and computer science. result_subspec WOS RIV BC FORD0 10000 FORD1 10100 FORD2 10103 reportyear 2020 mrcbC52 4 A sml 4as 20241106135724.8 inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0295600 confidential S contract name Licence Agreement date 20190227 mrcbC86 3+4 Article Computer Science Cybernetics mrcbC91 A mrcbT16-e COMPUTERSCIENCECYBERNETICS mrcbT16-j 0.215 mrcbT16-s 0.241 mrcbT16-B 15.751 mrcbT16-D Q4 mrcbT16-E Q4 arlyear 2019 mrcbTft \nSoubory v repozitáři: karny - kybernetika 2019 vol. 55 n.1.pdf mrcbU14 85064231311 SCOPUS mrcbU24 PUBMED mrcbU34 000469010600001 WOS mrcbU63 cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 55 č. 1 2019 1 11 Ústav teorie informace a automatizace AV ČR, v. v. i.