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Analysis of $p$-Laplacian Regularization in Semisupervised Learning
We investigate a family of regression problems in a semisupervised setting. The task is to assign real-valued labels to a set of $n$ sample points provided a small training subset of $N$ labeled points. A goal of semisupervised learning is to take advantage of the (geometric) structure provided by the …