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SADGSC
PublicAMGCF
PublicHEEGS
PublicBT-MA
PublicBT-MA is a Multi-label Machine learning modelAGMLGS
PublicUniTSVM
PublicHAMLGS
Public- In this paper, we propose two novel time-efficient formulations of the Twin Extreme Learning Machine, which only require the solution of systems of linear equat…
Multi-label-learning-with-missing-labels-using-sparse-global-structure-for-label-specific-features
PublicTo deal with the issues emerging from incomplete labels and high-dimensional input space, we propose a multi-label learning approach based on identifying the l…- To deal with the class imbalance problem in multi-label learning with missing labels, we propose Class Imbalance aware Missing labels Multi-label Learning, CIMM…
- The proposed method captures local and global correlations using Low Rank label subspace transformation for Multi-label learning with Missing Labels (LRMML). Th…
- In this paper, we propose an approach for multi-label classification when label details are incomplete by learning auxiliary label matrix from the observed labe…
- In this paper, a new variant of Twin Support Vector Machines (TSVM) termed as Neo-Twin Support Vector Machines (Neo-TSVM) has been proposed for binary pattern c…
MLC_toolbox
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