Article
Gaussian processes for classification: mean-field algorithms.
Neural computation - 1 Nov 2000
Opper M, Winther O
Abstract excerpt
We derive a mean-field algorithm for binary classification with gaussian processes that is based on the TAP approach originally proposed in statistical physics of disordered systems. The theory also yields an approximate leave-one-out estimator for the generalization error, which is computed with no extra computational cost. We show that from the TAP approach, it is possible to derive both a simpler "naive"...
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