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Multi-label dimensionality reduction /

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 minin...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Liang Sun
Otros Autores: Ji, Shuiwang, 1977-, Ye, Jieping
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, Florida : CRC Press, [2014]
Colección:Chapman & Hall/CRC machine learning & pattern recognition series.
Temas:
Acceso en línea:Texto completo