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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Language English ● Format PDF ● Pages 208 ● ISBN 9781439806166 ● Publisher CRC Press ● Published 2016 ● Downloadable 3 times ● Currency EUR ● ID 7123557 ● Copy protection Adobe DRM
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