MFSJMI: Multi-label feature selection considering join mutual information and interaction weight

P Zhang, G Liu, J Song - Pattern Recognition, 2023 - Elsevier
Multi-label feature selection captures a reliable and informative feature subset from high-
dimensional multi-label data, which plays an important role in pattern recognition. In …
被引用次数：32 相关文章

MFSJMI: Multi-label feature selection considering join mutual information and interaction weight

P Zhang, G Liu, J Song - Pattern Recognition, 2023 - ui.adsabs.harvard.edu
Multi-label feature selection captures a reliable and informative feature subset from high-
dimensional multi-label data, which plays an important role in pattern recognition. In …

MFSJMI:: Multi-label feature selection considering join mutual information and interaction weight

P Zhang, G Liu, J Song - 2023 - dl.acm.org
Multi-label feature selection captures a reliable and informative feature subset from high-
dimensional multi-label data, which plays an important role in pattern recognition. In …