Multi-Label Dimensionality Reduction

Multi-Label Dimensionality Reduction

Auteur: Liang Sun, Shuiwang Ji, Jieping Ye
Uitgever: CRC Press
Editie: 1
Publicatiedatum: 2016
ISBN: 9781439806159

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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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