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A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling
In this work, we propose a novel framework for large-scale Gaussian process (GP) modeling.
Data Twinning
In this work, we develop a method named Twinning, for partitioning a dataset into statistically similar twin sets.
SPlit: An Optimal Method for Data Splitting
In this article we propose an optimal method referred to as SPlit for splitting a dataset into training and testing sets.
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