<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="style/detail_T.xsl"?>
<bibitem type="V">   <ARLID>0337257</ARLID> <utime>20240103192911.9</utime><mtime>20100122235959.9</mtime>         <title language="eng" primary="1">Generalized information criteria for optimal Bayes decisions</title>  <publisher> <place>Praha</place> <name>ÚTIA AV ČR, v.v.i</name> <pub_time>2010</pub_time> </publisher> <specification> <page_count>38 s.</page_count> </specification> <edition> <name>Research Report</name> <volume_id>2274</volume_id> </edition>   <title language="cze" primary="0">Zobecněná informační kriteria pro optimální Bayesovské rozhodování</title>    <keyword>Generalized informations</keyword>   <keyword>Bayes decision error</keyword>   <keyword>Bayes decision risk</keyword>   <keyword>Information risk and error criteria</keyword>   <keyword>Inaccuracies of information criteria</keyword>    <author primary="1"> <ARLID>cav_un_auth*0015540</ARLID> <name1>Morales</name1> <name2>D.</name2> <country>ES</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0101218</ARLID> <name1>Vajda</name1> <name2>Igor</name2> <full_dept language="cz">Stochastická informatika</full_dept> <full_dept>Department of Stochastic Informatics</full_dept> <department language="cz">SI</department> <department>SI</department> <institution>UTIA-B</institution> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2010/SI/vajda-generalized information criteria for optimal bayes decisions.pdf</url> </source>         <cas_special> <project> <project_id>GA102/07/1131</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0228132</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">Upper and lower levels of Byes decision errors and risk achieved under given lelvels of generalized information are evaluated. Quadratic information is shown to be optimal error and risk characteristic in infinite class of the most common generalized information measures including the measure of Shannon.</abstract> <abstract language="cze" primary="0">Vypočteny jsou horní a dolní meze pro bayesovské chyby a rizika při daných hodnotách zobecněných informačních obsažností dat. Bylo prokázáno, že kvadratická informace určuje tyto meze nejpřesněji v nekonečné třídě nejběžnějších měr informace včetně Shannonovy informace.</abstract>    <reportyear>2010</reportyear>  <RIV>BD</RIV>     <unknown tag="mrcbC52"> 4 O 4o 20231122133913.9 </unknown>  <permalink>http://hdl.handle.net/11104/0181299</permalink>        <arlyear>2010</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0337257.pdf </unknown>    <unknown tag="mrcbU10"> 2010 </unknown> <unknown tag="mrcbU10"> Praha ÚTIA AV ČR, v.v.i </unknown> </cas_special> </bibitem>