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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Idioma Inglés ● Formato PDF ● Páginas 208 ● ISBN 9781439806166 ● Editorial CRC Press ● Publicado 2016 ● Descargable 3 veces ● Divisa EUR ● ID 7123557 ● Protección de copia Adobe DRM
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