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Semi-supervised learning : from Gaussian fields to Gaussian processes
journal contribution
posted on 1965-01-01, 00:00 authored by Xiaojin Zhu, John Lafferty, Zoubin GhahramaniAbstract: "We show that the Gaussian random fields and harmonic energy minimizing function framework for semi-supervised learning can be viewed in terms of Gaussian processes, with covariance matrices derived from the graph Laplacian. We derive hyperparameter learning with evidence maximization, and give an empirical study of various ways to parameterize the graph weights."