Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks
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Langue Anglais ● Format PDF ● Pages 208 ● ISBN 9781439806166 ● Maison d’édition CRC Press ● Publié 2016 ● Téléchargeable 3 fois ● Devise EUR ● ID 7123557 ● Protection contre la copie Adobe DRM
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