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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/user/dbenz/multi-label"><title>BibSonomy bookmarks for /user/dbenz/multi-label</title><link>https://www.bibsonomy.org/user/dbenz/multi-label</link><description>BibSonomy RSS Feed for /user/dbenz/multi-label</description><items><rdf:Seq><rdf:li rdf:resource="http://mlkd.csd.auth.gr/multilabel.html"/></rdf:Seq></items></channel><item rdf:about="http://mlkd.csd.auth.gr/multilabel.html"><title>MLKD - Learning From Multi-Label Data</title><description>We have developed and are constantly enriching a Java library for Multi-label learning, called Mulan. Mulan contains several problem transformation and algorithm adaptation methods for multilabel classification and ranking, an evaluation framework that computes several multilabel classification evaluation measures and a class providing data set statistics. It also contains an algorithm and support for hierarchical multi-label classification. Mulan is built on top of Weka and it therefore utilizes its award-wining code base. It is open-source and distributed under the GNU GPL licence. Please contact Grigorios Tsoumakas for bug reports, comments, suggestions or request for help with the library. </description><link>http://mlkd.csd.auth.gr/multilabel.html</link><dc:creator>dbenz</dc:creator><dc:date>2009-09-22T16:22:30+02:00</dc:date><dc:subject>lwa2009 mulan multi-label </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;We have developed and are constantly enriching a Java library for Multi-label learning, called Mulan. Mulan contains several problem transformation and algorithm adaptation methods for multilabel classification and ranking, an evaluation framework that computes several multilabel classification evaluation measures and a class providing data set statistics. It also contains an algorithm and support for hierarchical multi-label classification. Mulan is built on top of Weka and it therefore utilizes its award-wining code base. It is open-source and distributed under the GNU GPL licence. Please contact Grigorios Tsoumakas for bug reports, comments, suggestions or request for help with the library. &lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/lwa2009"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mulan"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/multi-label"/></rdf:Bag></taxo:topics></item></rdf:RDF>