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<bibitem type="A">   <ARLID>0353113</ARLID> <utime>20240103194511.7</utime><mtime>20110104235959.9</mtime>         <title language="eng" primary="1">Variational Bayes Approximation for Distributed Fully Probabilistic Design</title>  <specification> <page_count>1 s.</page_count> <media_type>www</media_type> </specification>   <serial><ARLID>cav_un_epca*0352231</ARLID><title>Abstracts of Contributions to 6th International Workshop on Data-Algorthms-Decision Making</title><part_num/><part_title/><page_num>47-47</page_num><publisher><place>Praha</place><name>ÚTIA AV ČR, v.v.i</name><year>2010</year></publisher></serial>    <keyword>Variational Bayes</keyword>   <keyword>Distributed control</keyword>   <keyword>adaptive control</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101207</ARLID> <name1>Šmídl</name1> <name2>Václav</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0267768</ARLID> <name1>Tichý</name1> <name2>Ondřej</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept>Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department>AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2010/AS/smidl-variational bayes approximation for distributed fully probabilistic design.pdf</url> </source>        <cas_special> <project> <project_id>1M0572</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0001814</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">Variational Bayes is a well known technique of approximate Bayesian estimation. In this contribution, we investigate application of the Variational Bayes idea in fully probabilistic design.</abstract>  <action target="EUR"> <ARLID>cav_un_auth*0267349</ARLID> <name>6th international workshop on Data - Algorithm - Decision making</name> <place>Jindřichův Hradec</place> <dates>02.12.2010-04.12.2010</dates>  <country>CZ</country> </action>   <reportyear>2011</reportyear>  <RIV>BC</RIV>     <unknown tag="mrcbC52"> 4 O 4o 20231122134345.6 </unknown>  <permalink>http://hdl.handle.net/11104/0192444</permalink>        <arlyear>2010</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0353113.pdf </unknown>    <unknown tag="mrcbU63"> cav_un_epca*0352231 Abstracts of Contributions to 6th International Workshop on Data-Algorthms-Decision Making 47 47 Praha ÚTIA AV ČR, v.v.i 2010 </unknown> </cas_special> </bibitem>