<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="style/detail_T.xsl"?>
<bibitem type="K">   <ARLID>0411031</ARLID> <utime>20240103182256.8</utime><mtime>20060210235959.9</mtime>    <ISBN>80-248-0229-5</ISBN>         <title language="eng" primary="1">On the way to learning deterministic objects</title>  <publisher> <place>Ostrava</place> <name>VŠB</name> <pub_time>2003</pub_time> </publisher> <specification> <page_count>10 s.</page_count> </specification>   <serial><title>Znalosti 2003. Sborník příspěvků 2. ročníku konference</title><part_num/><part_title/><page_num>252-261</page_num><editor><name1>Svátek</name1><name2>V.</name2></editor></serial>    <keyword>machine learning</keyword>   <keyword>objects</keyword>   <keyword>integration</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101072</ARLID> <name1>Bůcha</name1> <name2>Jindřich</name2> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/prace/20030018.pdf</url> </source>     <COSATI>09I</COSATI>    <cas_special> <project> <project_id>GA102/99/1564</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0004444</ARLID> </project> <research> <research_id>CEZ:AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">The paper deals with learning knowledge about objects, i.e. entities of the real environment. This is an important topic, often neglected by machine learning. The whole experimental approach is implemented via the integration of several areas of AI, namely machine learning, knowledge base management, reasoning, especially Prolog-like and analogical. More specifically, the approach is based on further generalization of already learned (generalized) rules, and on analogy.</abstract>  <action target="CST"> <ARLID>cav_un_auth*0213006</ARLID> <name>Znalosti 2003 /2./</name> <place>Ostrava</place> <country>CZ</country> <dates>19.02.2003-21.02.2003</dates>  </action>    <RIV>BC</RIV>   <department>AS</department>    <permalink>http://hdl.handle.net/11104/0131118</permalink>   <ID_orig>UTIA-B 20030018</ID_orig>      <arlyear>2003</arlyear>       <unknown tag="mrcbU10"> 2003 </unknown> <unknown tag="mrcbU10"> Ostrava VŠB </unknown> <unknown tag="mrcbU12"> 80-248-0229-5 </unknown> <unknown tag="mrcbU63"> Znalosti 2003. Sborník příspěvků 2. ročníku konference 252 261 </unknown> <unknown tag="mrcbU67"> Svátek V. 340 </unknown> </cas_special> </bibitem>