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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Språk Engelska ● Formatera PDF ● Sidor 208 ● ISBN 9781439806166 ● Utgivare CRC Press ● Publicerad 2016 ● Nedladdningsbara 3 gånger ● Valuta EUR ● ID 7123557 ● Kopieringsskydd Adobe DRM
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