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	<title>Xavier Llorà &#187; machine learning</title>
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	<description>A notebook on data-intensive computing, genetics-based machine learning &#38; more.</description>
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		<title>ILWCS 2008 live</title>
		<link>http://www.xavierllora.net/2008/07/13/ilwcs-2008-live/</link>
		<comments>http://www.xavierllora.net/2008/07/13/ilwcs-2008-live/#comments</comments>
		<pubDate>Sun, 13 Jul 2008 15:32:17 +0000</pubDate>
		<dc:creator>Xavier</dc:creator>
				<category><![CDATA[Notes]]></category>
		<category><![CDATA[Conferences]]></category>
		<category><![CDATA[GBML & LCS]]></category>
		<category><![CDATA[machine learning]]></category>

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		<description><![CDATA[The 11th edition of the International Workshop on Learning Classifier System 2008 is hot. So far a lot of idea exchange and interesting discussions. So far Gilles Enee, myself, Natalio Krasnogor, Albert Oriols, Thyago Duque covering map problems, encoding language and model building, TSP and metaheuristics, learning association rules, and multi class labeling. Had to rush back to [...]
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<li><a href='http://www.xavierllora.net/2008/06/14/iceis-2008-slow-afternoon-and-moira-norrie/' rel='bookmark' title='ICEIS 2008: Slow afternoon and Moira Norrie'>ICEIS 2008: Slow afternoon and Moira Norrie</a></li>
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</ol>]]></description>
			<content:encoded><![CDATA[<p>The 11th edition of the <a href="http://www.psychologie.uni-wuerzburg.de/i3pages/butz/IWLCS2008/">International Workshop on Learning Classifier System 2008</a> is hot. So far a lot of idea exchange and interesting discussions. So far <a href="http://evonet.lri.fr/evoweb/membership/ind_record.php?id=957">Gilles Enee</a>, myself, <a href="http://www.cs.nott.ac.uk/~nxk/">Natalio Krasnogor</a>, <a href="http://www.illigal.uiuc.edu/web/aorriols">Albert Oriols</a>, <a href="http://www.facebook.com/people/Thyago_Duque/519655826">Thyago Duque</a> covering map problems, encoding language and model building, TSP and metaheuristics, learning association rules, and multi class labeling. Had to rush back to the next one <img src='http://www.xavierllora.net/wp-includes/images/smilies/icon_biggrin.gif' alt=':D' class='wp-smiley' /> </p>
<p>Related posts:<ol>
<li><a href='http://www.xavierllora.net/2008/06/16/iceis-2008-final-sprint-and-ricardo-baeza-yates/' rel='bookmark' title='ICEIS 2008: Final sprint and Ricardo Baeza-Yates'>ICEIS 2008: Final sprint and Ricardo Baeza-Yates</a></li>
<li><a href='http://www.xavierllora.net/2008/06/14/iceis-2008-slow-afternoon-and-moira-norrie/' rel='bookmark' title='ICEIS 2008: Slow afternoon and Moira Norrie'>ICEIS 2008: Slow afternoon and Moira Norrie</a></li>
<li><a href='http://www.xavierllora.net/2008/07/11/leaving-for-gecco-2008/' rel='bookmark' title='Leaving for GECCO 2008'>Leaving for GECCO 2008</a></li>
</ol></p>]]></content:encoded>
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		<title>ICEIS 2008: Second Friday afternoon session</title>
		<link>http://www.xavierllora.net/2008/06/13/iceis-2008-second-friday-afternoon-session/</link>
		<comments>http://www.xavierllora.net/2008/06/13/iceis-2008-second-friday-afternoon-session/#comments</comments>
		<pubDate>Fri, 13 Jun 2008 15:35:21 +0000</pubDate>
		<dc:creator>Xavier</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[soa]]></category>

		<guid isPermaLink="false">http://www.xavierllora.net/?p=244</guid>
		<description><![CDATA[My second afternoon session was formed by paper 506, 553, and 582. Machine learning was the pervasive fabric for this session. From bayesian network modeling for network intrusion detection and machine learning for process mining, to music information retrieval and similarity measures. All of them were interesting on their own, but I would like to write down [...]
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</ol>]]></description>
			<content:encoded><![CDATA[<p>My second afternoon session was formed by <a title="Papers" href="http://www.iceis.org/program/Program_Friday.htm">paper 506, 553, and 582</a>. Machine learning was the pervasive fabric for this session. From bayesian network modeling for network intrusion detection and machine learning for process mining, to music information retrieval and similarity measures. All of them were interesting on their own, but I would like to write down some of the thoughts about paper 553. The paper focussed on process mining. Basically from a log of a process they reconstructed the events and graph and tried to induce the business rules governing the process. They authors took a divide and conquer approach to simplify the modeling inside smaller regions of the problem&#8212;very similar to the <a title="GALE" href="http://www.xavierllora.net/2006/05/10/gale-is-back/">GALE</a> approach back in 1999, or the <a title="Mixed decision trees" href="http://www.illigal.uiuc.edu/web/technical-reports/2004/03/12/mixed-decision-trees-minimizing-knowledge-representation-bias-in-lcs/">mixed decision trees paper</a>. After the talk was over I kept wondering where is the connection between process mining and <a title="Provenence definition" href="http://en.wiktionary.org/wiki/provenance">provenance</a> mining&#8212;<a title="Provenence definition" href="http://en.wiktionary.org/wiki/provenance">provenance</a> can be defined as the execution history of computer processes which were utilized to compute a final piece of data. Quite an intriguing thought.</p>
<p>Related posts:<ol>
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<li><a href='http://www.xavierllora.net/2008/06/14/iceis-2008-slow-afternoon-and-moira-norrie/' rel='bookmark' title='ICEIS 2008: Slow afternoon and Moira Norrie'>ICEIS 2008: Slow afternoon and Moira Norrie</a></li>
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</ol></p>]]></content:encoded>
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