On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization

9 Apr 2018 Pin-Yu Chen Dennis Wei

Active graph-based semi-supervised learning (AG-SSL) aims to select a small set of labeled examples and utilize their graph-based relation to other unlabeled examples to aid in machine learning tasks. It is also closely related to the sampling theory in graph signal processing... (read more)

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