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<bibitem type="C">   <ARLID>0317955</ARLID> <utime>20240111140713.3</utime><mtime>20090108235959.9</mtime>         <title language="eng" primary="1">Conditional Independence and Compositional Models for Belief Functions</title>  <specification> <page_count>6 s.</page_count> <media_type>www</media_type> </specification>   <serial><ARLID>cav_un_epca*0317954</ARLID><title>The 11th Czech-Japan Seminář on Data Analysis and Decision Making under Uncertainty</title><part_num/><part_title/><page_num>75-80</page_num><publisher><place>Sendai</place><name>The Kao Foundations for Arts and Sciences</name><year>2008</year></publisher></serial>   <title language="cze" primary="0">Podmíněná nezávislost a kompozicionální modely pro domněnkové funkce</title>    <keyword>conditional independence</keyword>   <keyword>belief function</keyword>   <keyword>multidimensional model</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101118</ARLID> <name1>Jiroušek</name1> <name2>Radim</name2> <institution>UTIA-B</institution> <full_dept>Department of Decision Making Theory</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <source_type>pdf</source_type> <url>http://library.utia.cas.cz/separaty/2008/MTR/jirousek-conditional independence and compositional models for belief functions.pdf</url> </source>        <cas_special> <project> <project_id>1M0572</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0001814</ARLID> </project> <project> <project_id>ICC/08/E010</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0271587</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">The contribution discusses an approach utilizing properties of conditional independence relations that enables assembling a multidimensional model from a system of its simple submodels. Unfortunately, the concept of conditional independence has been for belief functions defined in several ways and none of them fully meets the necessary requirements. Therefore a new approach how to define conditional independence for belief functions is introduced.</abstract> <abstract language="cze" primary="0">Článek popisuje jeden možný přístup umožňující sestavit mnohodimensionální model ze systému mnoha málodimensionálních. Tento přístup využívá pojem podmíněné nezávislosti. Vzhledem k tomu, že pro domněnkové funkce existuje několik různých definic tohoto pojmu a žádný z nich nevykazuje potřebné teoretické vlastnosti, obsahuje článek i novou definici podmíněné nezávislosti pro domněnkové funkce.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0243453</ARLID> <name>Czech-Japan Seminar on Data Analysis and Decision-Making under Uncertainty /11./</name> <place>Sendai</place> <dates>15.09.2008-17.09.2008</dates>  <country>JP</country> </action>    <reportyear>2009</reportyear>  <RIV>IN</RIV>      <permalink>http://hdl.handle.net/11104/0004949</permalink>        <arlyear>2008</arlyear>       <unknown tag="mrcbU56"> pdf </unknown> <unknown tag="mrcbU63"> cav_un_epca*0317954 The 11th Czech-Japan Seminář on Data Analysis and Decision Making under Uncertainty 75 80 Sendai The Kao Foundations for Arts and Sciences 2008 </unknown> </cas_special> </bibitem>