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cs.LG2012★ 1 cited
Sparse-posterior Gaussian Processes for general likelihoods
Yuan, Qi, Ahmed H. Abdel-Gawad +1
Gaussian processes (GPs) provide a probabilistic nonparametric representation of functions in regression, classification, and other problems. Unfortunately, exact learning with GPs…
cs.LG2012★ 17 cited
Sparse matrix-variate Gaussian process blockmodels for network modeling
Feng Yan, Zenglin Xu, Yuan +1
We face network data from various sources, such as protein interactions and online social networks. A critical problem is to model network interactions and identify latent groups o…