Σ-Optimality for Active Learning on Gaussian Random Fields

NeurIPS 2013 Yifei MaRoman GarnettJeff Schneider

A common classifier for unlabeled nodes on undirected graphs uses label propagation from the labeled nodes, equivalent to the harmonic predictor on Gaussian random fields (GRFs). For active learning on GRFs, the commonly used V-optimality criterion queries nodes that reduce the L2 (regression) loss... (read more)

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