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<bibitem type="C">   <ARLID>0381692</ARLID> <utime>20240103201331.8</utime><mtime>20121031235959.9</mtime>         <title language="eng" primary="1">Decision-theoretic troubleshooting: hardness of approximation</title>  <specification> <page_count>8 s.</page_count> <media_type>E</media_type> </specification>   <serial><ARLID>cav_un_epca*0381691</ARLID><ISBN>978-84-15536-57-4</ISBN><title>Proceedings of the Sixth European Workshop on Probabilistic Graphical Models, PGM'12</title><part_num/><part_title/><page_num>195-202</page_num><publisher><place>Granada</place><name>DECSAI, University of Granada</name><year>2012</year></publisher></serial>    <keyword>Troubleshooting</keyword>   <keyword>Bayesian networks</keyword>   <keyword>Approximation</keyword>    <author primary="1"> <ARLID>cav_un_auth*0272969</ARLID> <name1>Lín</name1> <name2>Václav</name2> <full_dept language="cz">Matematická teorie rozhodování</full_dept> <full_dept language="eng">Department of Decision Making Theory</full_dept> <department language="cz">MTR</department> <department language="eng">MTR</department> <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> <url>http://library.utia.cas.cz/separaty/2012/MTR/lin-decision-theoretic troubleshooting hardness of approximation.pdf</url> </source>        <cas_special>  <abstract language="eng" primary="1">Troubleshooting is one of the application areas of Bayesian networks. Given a probabilistic model of a malfunctioning device, the task is to find the repair strategy with minimal expected cost. Except for simple cases, finding an optimal strategy is NP-hard. We show that optimal troubleshooting strategies are also hard to approximate.</abstract>  <action target="EUR"> <ARLID>cav_un_auth*0284378</ARLID> <name>Sixth European Workshop on Probabilistic Graphical Models</name> <place>Granada</place> <dates>19.09.2012-21.09.2012</dates>  <country>ES</country> </action>    <reportyear>2013</reportyear>  <RIV>BC</RIV>     <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0212105</permalink>        <arlyear>2012</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0381691 Proceedings of the Sixth European Workshop on Probabilistic Graphical Models, PGM'12 978-84-15536-57-4 195 202 Granada DECSAI, University of Granada 2012 </unknown> </cas_special> </bibitem>