Spectrum-Based Kernel Length Estimation for Gaussian Process Classification

Abstract

Recent studies have shown that Gaussian process (GP) classification, a discriminative supervised learning approach, has achieved competitive performance in real applications compared with most state-of-the-art supervised learning methods. However, the problem of automatic model selection in GP classification, involving the kernel function form and the… (More)
DOI: 10.1109/TCYB.2013.2273077

Topics

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