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<dc:title xml:lang="pl"><![CDATA[Multi-label classification using error correcting output codes]]></dc:title>
<dc:creator><![CDATA[Kajdanowicz, Tomasz]]></dc:creator>
<dc:creator><![CDATA[Kazienko, Przemysław]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[machine learning]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[supervised learning]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[multi-label classification]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[error-correcting output codes]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[ECOC]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[ensemble methods]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[binary relevance]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[framework]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[A framework for multi-label classification extended by Error Correcting Output Codes (ECOCs) is introduced and empirically examined in the article. The solution assumes the base multi-label classifiers to be a noisy channel and applies ECOCs in order to recover the classification errors made by individual classifiers.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The framework was examined through exhaustive studies over combinations of three distinct classification algorithms and four ECOC methods employed in the multi-label classification problem.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The experimental results revealed that (i) the Bode?Chaudhuri?Hocquenghem (BCH) code matched with any multi-label classifier results in better classification quality; (ii) the accuracy of the binary relevance classification method strongly depends on the coding scheme; (iii) the label power-set and the RAkEL classifier consume the same time for computation irrespective of the coding utilized; (iv) in general, they are not suitable for ECOCs because they are not capable to benefit from ECOC correcting abilities; (v) the all-pairs code combined with binary relevance is not suitable for datasets with larger label sets.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Cordón, Oskar - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Kazienko, Przemysław - ed.]]></dc:contributor>
<dc:date><![CDATA[2012]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/58995/AMCS_2012_22_4_4.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/65811/edition/58995/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:58995]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, Volume 22, Number 4 (2012)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=paper&paper=652]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:65811]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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