Multi-Label Dimensionality Reduction Multi-Label Dimensionality Reduction
Chapman & Hall/CRC Machine Learning & Pattern Recognition

Multi-Label Dimensionality Reduction

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Descripció de l’editorial

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

GÈNERE
Negocis i finances personals
PUBLICACIÓ
2016
19 d’abril
IDIOMA
EN
Anglès
EXTENSIÓ
208
Pàgines
EDITORIAL
CRC Press
MIDA
4,6
MB
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