Incorporating manifold regularization into adaptive label thresholding algorithm for online semi-supervised multi-label classification

Online multi-label classification aims to assign multiple appropriate categories to arriving instances. Currently, most approaches focus on supervised scenarios where instances are all labeled. The adaptive label thresholding approach, for example, can dynamically adjust the label threshold for labe...

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