Combining Graph Laplacians for Semi--Supervised Learning

Argyriou, Andreas, Herbster, Mark, Pontil, Massimiliano

Neural Information Processing Systems 

A foundational problem in semi-supervised learning is the construction of a graph underlying the data. We propose to use a method which optimally combines a number of differently constructed graphs.

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