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<bibitem type="J">   <ARLID>0411066</ARLID> <utime>20240103182259.3</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">On the exponential representation problem</title>  <specification> <page_count>7 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0258368</ARLID><ISSN>1432-7643</ISSN><title>Soft Computing</title><part_num/><part_title/><volume_id>7</volume_id><volume>5 (2003)</volume><page_num>321-327</page_num><publisher><place/><name>Springer</name><year/></publisher></serial>    <keyword>knowledge representation</keyword>   <keyword>decomposable statistics</keyword>   <keyword>exponential distribution</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101114</ARLID> <name1>Janžura</name1> <name2>Martin</name2> <institution>UTIA-B</institution> <full_dept>Department of Stochastic Informatics</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>     <COSATI>12A</COSATI>    <cas_special> <project> <project_id>GA102/99/1137</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0004432</ARLID> </project> <research> <research_id>CEZ:AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">The knowledge representation problem is understood as finding a reasonable joint distribution for a collection of marginal distributions. The problem is reformulated as a "moment problem", and the solution is searched in the exponential form. Further, an equivalent parametrization is introduced with a parameter which can be easily identified even in higher dimensional cases. The problem of evaluating relevant model characteristics is discussed.</abstract>      <RIV>BA</RIV>   <department>SI</department>    <permalink>http://hdl.handle.net/11104/0131153</permalink>   <ID_orig>UTIA-B 20030053</ID_orig>       <arlyear>2003</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0258368 Soft Computing 1432-7643 1433-7479 Roč. 7 č. 5 2003 321 327 Springer </unknown> </cas_special> </bibitem>