Multi-view Gaussian processes with posterior consistency
Inf. Sci., pp. 710-722, 2021.
Abstract Gaussian processes (GPs) are powerful tools for regression and classification tasks, and have been used widely in various fields of machine learning. However, GPs are barely applied directly to the scenario of multi-view learning so far. In this paper, we propose two kinds of multi-view GPs frameworks called MVGP1 and MVGP2 wit...More
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